Hello, welcome to the talking operations web conference on work zone traffic analysis strategy.
I am Jennifer Symoun, I will give a brief very pleased to have pleased be advised today's seminar is being recorded, will last hour and 50 minutes.
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At this time I would like to introduce Daniel Gray, the moderator of today's webcast.
If the Federal Highway Administration since 1987, transportation engineer, resource center in Atlanta, specializing in work zones.
Traffic engineer for the state of Maryland, current duties including work operation, safety, ITS advancements.
Involve engineering degree from SC state university, and masters from Morgan State University.
Daniel.
I am Daniel member of the Federal Highway Resource Center, member of the operations technical service team, and would like to welcome you to today's Webinar for work zone traffic analysis strategies.
Here is an overview, first topic, we will look at perspectives on work zone analysis strategies, followed by the decisionmaking process and work zone traffic analysis, finally the issues on work zone traffic analysis, conclusions
and will begin our Q&A session.
First topic, perspectives on work zone traffic analyze strategies.
To give everyone some background of how we got here, this effort started probably back in the fall of ' 06, the rule was about a year from taking effect,
the federal highway developed the survey to determine the uses of quicksol as we were developing the survey, moved towards what are folks using, period, if at all.
We got the results back from the survey, it became obvious that industrywide there was a need or desire to have some type of guidance to help folks select the appropriate tool or class of tools for a given work zone situation,
given zones vary physically, as well as behind the scenes, institutionally.
At that point federal highway took the initiative to begin the research project, partnered with Nob less, formerly known as Pied Owe Tech.
The purpose is to provide guidance on the use of application, transportation modeling tools so folks will better understand the impacts of work zone [indiscernible].
As we go through the discussion it will help us understand the safety impacts as well, but it's important that we realize the focus for this particular effort is for work zone mobility.
About a year ago we partnered with Nabliss, formed a panel to help us develop a panel, within federal highway and folks in the field on a state level.
Those folks on line today, I would like to extend a thank you for your diligent and faithful work getting the comments in, your input was very valuable, still is as we move forward.
As we got that input back from the field it became obvious this particular effort should be broken into two parts and became evident it should be a part of the traffic analysis tool box in place within federal highway.
These, the efforts, two parts that came out of it will be follow on volumes of the technical analysis tool box as volumes eight and nine.
The first is a guidance for decisionmakers, basically a high level document that will show the decision makers, those responsible for the uses of analytical tools from the beginning,
it will show the benefits of having analysis tools as part of the process in order to analyze work zone impacts.
Volume nine is more towards the analysts, the title is guide for analysts.
The audience are those folks who will be rolling up their sleeves, doing the analysis themselves.
They will be responsible for running the program, generating the results that will help you decision makers make the informed decisions they are responsible for.
As part of volume 9, you can probably imagine, case studies will be a critical component.
We have broken those components up into two categories, the project applications part, as well as the strategic modeling approaches.
The project application part looks at those road way construction projects across the country that used modeling tools as a part of overall decision making process.
The strategic, where we look at ekes agencies that have set up technologies, instances where work zone modeling is needed and to what extent.
As far as case studies, this is a list of the projects we will be investigating.
It ranges from mega urban project, Woodrow Wilson bridge to rural projects within the national park system.
Case studies that take a look at the strategic modeling approach, three are listed here, New Jersey turnpike authority, a lane closure application, state of Wisconsin, transportation management plan development process;
and finally the state of Michigan, D.O.T.'s South eastern Michigan simulation network or Samson.
This map depicts where the projects are located across the country.
Topic 2, decision making process, work zone traffic analysis.
At this point I will turn it over to our partner, Nobless, represented by Dr.
Carl Wunderlick, a corporate fellow for transportation analysis at Nobless, and serves as a research, model, and surface transportation systems.
In addition, serves as senior advise to federal highway on the traffic simulation effort, corridor management initiative, and the open source development program.
Dr.
Wunderlick holds a PhD in research operation from the University of Michigan.
Thank you very much, Dan, hello to everybody online.
Thank you for taking time out in the middle of the day to go through some of this material.
Dan did a nice job taking a look at the reasons why we got started in this program.
Another interesting thread to what he's talking about, we learned a lot along the way, tried to provide materials, showing what we learned along the way,
key messages Dan showed at the beginning have been reinforced the more we worked on this.
I think in many cases folks have been looking at this program, expecting the Federal Highway Administration might come out with guidance that include thou shalt use one specific tool.
I heard that from several people I talked to about this project.
I think that wasn't a very good idea to begin with, to tell you the truth, as a starting point.
The more that Dan and other folks on our federal task force and us have learned, the more we reinforce the message that works on such a broad, difficult set of modeling constraints to take care of,
that one particular tool really isn't the way to go.
It really becomes more a process of identifying what is it you need to model, what support, then try and fashion a modeling approach that best fits that.
That, in a nutshell is part of where we have come in our process of working on this.
In topic two and three here, maybe more in depth graphics, things we used to try to convey that basic message.
I will move on here, if I can.
One graphic we use to talk about work zones, we have come to understand the use of tools really is in support of decisions about work zones.
Work zones are complicated creatures to begin with because so many decisions have to be made before you get to the construction.
So we have broken those kinds of decisions down, essentially into three basic categories.
One is the application, the basic approach the construction will be deploying.
Design/build, concrete, precast, the structure or basic approach taken.
Then, related to that, the top there, the S is the scheduling.
This component is when will the work occur?
Clearly those things are related to whatever application you are applying.
The third element of our circle is the TMP, transportation management plan.
This is how we will manage traffic while construction is taking place or accommodating it or informing the public.
So there are key decisions to be made in each area, but since they are connected, you can see those arrows, double ended, connect the three circles, showing no single decision in any area is made without impact on the other elements.
If there's an application that needs to be done at night, the scheduling reflects that and the traffic management plan.
It goes all the way around.
Decisions you make in one area will always have ripple effect in the other areas as well.
Another graphical element we have used here to make a point, if you can see inside the circle that contains the three blobs, a small curved area, the momentum or amount of decisionmaking you have been locked into.
It's easy to make decisions in a vacuum, sometimes without having all the information at hand.
Once you make a decision sometimes it's difficult to uh undo the decision later.
As the decision moves forward with the project, it's difficult to move against that, dial back the clock, undo something, decision made early on.
The last element here, all the decisions are not finalized in detail at the same level at the same time.
The little smaller circles next to the application A, shows almost filled in, level of maturity or detail in terms of thinking about that.
For this particular sample project being shown here, we may have made a fair number of decisions about application, maybe half way done, making details set for scheduling.
Still have some flexibility in transportation management capability moving forward.
Those are graphical elements we will use to talking about issues as far as the work zone planning process.
So again, another difficult thing about work zones is that it's not a static process.
The project itself moves through a project lifecycle, and the requirement, kinds of decisions you have to make, each phase of the project lifecycle is different, and you can't, maybe not done by the same people,
different parts of the same agency, different agencies.
In any case, the point is the decisions you make at the top level impact what happens later on in the lifecycle.
So, the diagram worth showing here on the lefthand side, the program delivery process, that's a graphic that's taken out of some previous material the FHWA has produced the work zone reference document if you are not familiar,
it's an excellent document to download.
It's broader than modeling, adding on to the work done with that, document.
For modeling, though, that complexity can be boiled down to three basic stages, the planning, design and construction.
A lot of the types of decisions encountered supported by modeling were similar, what we are using on the lefthand side.
These are the lifecycle stages we are dealing with, trying to understand in terms of the overall picture of getting work zones right.
So what I will do now is move forward on the slides, talk a little more about the lifecycle aspect of planning.
You have projects that start in this planning phase, have to start making decisions about what's going to happen all the way through the process.
Sometimes the data, information institutional issues are different in that stage than later on.
Whatever decisions issue made, and here's animation showing momentum going forward, whatever decisions are being made are followed to the next phases.
In some cases we identified, studies encountered, there may have been a general feeling among folks in the beginning of the project about how it might go.
They may have a general vision, and those elements may remain all the way through the process, whether or not the situation really has changed, and sometimes it's very difficult to go back, reexamine things
and develop a new plan based on that, just because certain types of approaches or asking, traffic management types of planning are essentially ruled out early on.
So, when you try to make those decisions, given that it is critical to make them as flexible, as accurate as possible, there's a rule for analysis, modeling to support the decision, so they are the most accurate,
here's a decision where it moves forward, gets bigger, moves forward, all those elements get a little bit bigger.
Okay.
Now I will talk about each of the phases in a little more detail.
Here we are in the planning phase, the application, traffic management circles have been less distinct, that's because in these phases it's like what I was talking about before, people getting a general feel for how to approach a project.
May be a large project, small, single season, multiseason, in any case, whatever happens, there's some element of planning that goes on where all options are essentially on the table.
These initial assumptions may emerge based on how work should be done, whether it should have certain aspects, contractor should follow standard format or different format.
At this point, in order to get one's arms around the problem there has to be a connection made between application and scheduling, basically what is the kind of work and can we do that safely with some limited impact.
This level, very high level, not a lot of detail for the traffic management, but it still may be important to take a look broadly at many scenarios while things are still quite flexible and many changes can be made.
An example of this we found in our search of interesting case studies was a piece of analysis done for the national park system where there were many types of concerns, constraints about the road going into Glacier National Park.
They had planned a several year rehabilitation for that roadway.
There was concern in the community, even in the planning stage, about the impact on tourism in the area.
So there was a desire, without doing specifically a lot of detailed plan,
to use a sketch planning tool to identify how much work could be done on this long road with multiple interacting flagger operations to see how much that might delay or impede tourists.
Then they had to talk with their local stakeholders about what they thought was a reasonable limit for that throughout the construction phase.
So although in this case a lot of the planning was done in the end based on financial constraints,
it helped them shape their ideas about roughly how many work zones of what various sizes could be strung together in a short construction season to get it done in a number of years.
It was a useful planning exercise just to shape the conversation with the community, also with the folks planning the work.
What was feasible.
Next phase is PE and design, put together for purposes of work zones.
Now we are out of planning, really the scheduling, application, those connections become stronger.
You can't get through these phases without knowing what you are building, how and when you plan to build it.
The details of the traffic management plan may still be to some degree flexible, also constrained by what's being limitations imposed in terms of schedules, 24hour closure, full, only certain times,
maintenance of traffic part of the deal continued throughout the construction phase.
These constraints filter down, what the smaller arrows show, into the traffic management plan.
Sometimes those constraints are very reasonable, other times they may or may not make sense in terms of the overall project.
Before one gets locked in to an approach here, it's useful to have considered, in some cases quantitatively assessed, through modeling and simulation, whether that constraint is a reasonable one or not.
Traffic control becomes more important, will be important when vehicles are actually delayed or rerouted.
Our example here in Detroit, they preferred an approach that was a full closure.
Hadn't done a lot of analysis to support it would be safer, more cost effective, it was unclear whether the surrounding freeway arterial grid would support full closure.
Again, they stakeholders, what the impact might be.
In this case the analysis done showed the surface streets and adjacent freeways could actually handle the flow pretty well, and in fact they went ahead and did it.
It was like a check on the process to identify whether or not where they were leading was going to be a reasonable solution or not; which I think was a useful analysis to do at this stage.
When you get to construction, there's not a lot of flexibility.
You have to know what you are building, set, contracts.
People are out there doing exactly what's been set.
There may be some limited flexibility in terms of schedule, that may build into the contract, or may not.
Finally, there's the traffic management plan, but in this case they have really been developed, but generally, depending on how you write the contract, many agencies are leaving themselves more
and more flexibility in terms of traffic management, control plan, in the construction phase to be more flexible, react to situations that may not have been clearly anticipated in previous phases.
The example we are using here is for the big project, Woodrow Wilson bridge here in the Washington metropolitan area, multiyear, very complicated project, with significant traffic impacts, both locally and regionally.
In the construction phase they required a tool to do quick response to identify could they approve rapidly changes to the traffic control plan in order to continue to keep the whole project on schedule.
That became a very important thing.
One example I am most familiar with, they needed to do night work, planned to block out an amount of time, six hours, the contractor arrived, said to do that, because of various things with the geometry, getting things on the bridge,
set up, tear down, only getting an hour of work done every evening, delaying the entire schedule.
That became a significant concern right away.
They were able to use had good data, sketch planning tool, to estimate the delays if they had given, extended the time to ay 10hour block.
As expected, there were delays incurred, but they knew what they would be, felt it was appropriate, within the bounds of agreements made with the local agencies, jurisdictions about what the delays might look like, overnight hours.
They rapidly, within a day were able to around, approve the plan, in the end that particular glitch didn't cost them in any way.
There were additional delays incurred, measured to make sure the data and the tools together were giving accurate predictions, were able to meet agreements made with the local jurisdictions,
but the flexible they had to react to events in the construction phase that didn't go exactly as planned.
Another good role for modeling.
This slide on the impact of decisions sums up to some degree a lot of what we are talking about in terms of lifecycle issues, as well as where tools can be applied.
Again, as we move planning through design, to construction, you have this evolution of where there are opportunities potentially to impact how the, what the decisions are going to be made, be approached, scheduled,
how traffic will be controlled.
You can see in the bottom third of the screen essentially, we have the modeling opportunities, diminishing, essentially, as you move forward.
That means that modeling opportunities here to support, specific decisions about what's happening in the overall project works in planning.
The data requirements go up because in the final stages you are not going to say, gee, we are going to stop, do it a different way, not possible.
You are looking at differentiating between alternatives or options that are essentially different flavors of the same basic plan.
To see what those impacts are you need a fair amount of detailed data to discriminate between two, three, four, relatively similar kinds of plans.
For example, how you manage detour routes.
Back up at the many opportunities for impact, broad range of high level requirements, the data sets to do that are generally lower.
One of the key messages of this chart, this whole topic is an understanding that getting some kind of effort involved early, early in the process, can pay off benefits all the way through to construction.
Topic three, again, that all sounds great.
We should apply models, have excellent data, do a great job, flexibility, safety will be highly improved.
However, when it's easy to talk about at the high level than it is to deploy on an every day case basis.
In this we will talk about more practical ways of thinking about the issues of work zone traffic analysis
and trying to think about how the characteristics of the work that's going to be done leads into finding an appropriate role for work zone analysis and specific types of work zone analysis tools.
Here are five key factors we have identified that take a look at the for trying to figure out what kind of tool to use in what regard.
I will reiterate what Dan and this is not supposed to be a search for the one super tool that handles everything, but specifically to identify the best tool that does the best job of supporting the decision you are looking at,
at the moment, and expect the decisions down the pike as the work zone project moves through its project lifecycle.
So work zone characteristics is our first bullet, this is a set of factors taken from the work zone self-assessment guide.
I will show you that in a minute.
There's the traffic management plan, issue of data quality, availability, this is a key thing that, I think folks generally nod their head, agree with, but sometimes it gets lost in the rush to model or do something.
Really, the decision to go ahead and do some kind of modeling and analysis will only be as valid, valuable as the data available to support that tool itself.
So out of the box, a piece of software, or a particular kind of analysis technique really doesn't have value unless it has the appropriate data to support it.
That's a classic garbage in/garbage out kinds of argument.
If you are going to a tool, who will be using it?
Does it require a lot of care and feeding?
A team of experts?
Or is it something relatively simple.
Talking about performances, what are the key performance measurements for your particular issue.
Surprising to us, the range of key performance measures we run into.
We expected to see things like delay show up a lot, maximum cube length, those kinds of things, but they did show up frequently.
Oftentimes there are specific types of performance measures that are very important to one or two projects or one or two people stakeholders, and if you can't measure those, you need on because that's what will be asked about.
The work zone characteristics, Type I through five, taken from the self-assessment guide out there; the big ones, effect the largest number of people, one, the user impacts, long duration.
Two and three are different flavors of Type I, but maybe the impacts are a little less.
Finally type four, little ones with short duration, low visibility.
It's important to consider work zones do come in all these different types, it's a legitimate way to begin to think about what are your approaches for various many times, people think about, drive n to the largest, most complex,
it's natural, not unwarranted, however it's sometimes self-limiting, because there are some things that can be done to really organize and improve these two, three and four type work zones, sometimes a little forgotten,
not the highest visible ones, don't get a lot of visible, it can be surprising the type of impact they have.
The case study, a little analysis can go a long way in improving mobility for these types of work zones.
That's the type of work zone, a way to think about it, another is the configuration.
There really are different types of tools that are better suited for different types of geometry and the impacted area for a work zone.
One, again, is the easiest to think about, the isolated, off by itself, little interaction, self-contained, generates some delay, but really restricted to the area adjacent.
Like the Glacier is a good example of the pipe.
There was plenty of interaction between the work zones themselves, the serial sequential segments of work zones has significant impact, couldn't be analyzed alone in any accurate way at all.
Finally the network, the most typical for type 1s, the big ones with impacted reach on to other facilities, facilities that [indiscernible] to the work zone area.
In these cases it becomes more difficult, rather than a directional pipe to consider, you also have to consider impacts on traffic moving in various directions, all around, and divert traffic, there's already traffic there.
Interaction to consider, different tools are better at that than others in terms of getting an answer.
Sometimes we have observed that analysis can really break down just basically from the point of the basic gee om geometry, wasn't considered observe the scale, how many miles of impact, and where are you, between cities,
within an urban area, in a rural work zone environment?
This chart is hard to read, big table.
I won't go through all of it.
I would like to point out there's a list of all those work zone projects we looked at where modeling and simulation was successfully applied, the first column, acronym for each of them.
A table that showed modeling approaches, where the modeling was supposed to come in, in terms of decisionmaking process, how it was characterized in terms of work zone characteristics, type 1 through 4, or geometry situation small, med
or large, how large was the analysis area in terms of dimensions.
Not to go through all these painfully, but the point is that rather than gravitate towards the 10 largest construction projects in the nation, and identify the techniques used there,
we tried to be as broadly inclusive as possible across the types of approaches, where they were brought to bear on the decisionmaking process, and whether or not they were large, small, urban/rural.
Not necessarily the 10 biggest, but they do represent a group of case studies that span the gamut.
Within the transportation management plan there are elements to consider, tool collection, depending on the particular thing you are trying to support within the management plan, may be most appropriate.
These, again, different categories taken out of the work zone guide, temporary traffic control, the strategies, and the contracting individual, construction strategies.
Interesting case study included in the volume 9 from California where they took a look at a connection between not only the scheduling and traffic management plan,
but a two-phased approach where the type of application was connected to a scheduling, and they developed six different alternatives based on a basic approach, used the application to take a look at splits cost impacts
and techniques to look at delay impacts.
Once they identified some candidates they liked, moved to Phase II, mesoscale approach, to look at diversion impacts, delays on surrounding facilities and roads.
You may bring different kinds of tools in to approach a different problem, driving different upstream decisions based on application and scheduling.
The information component, this is another key place where I think people have been very happy with the use of simulation modeling, so that they have something useful to say at public meetings or public figures, and also to the press.
During the roadway closure on the Woodrow Wilson bridge there was an example where they needed to do a significant amount of work on a weekend, they used an analysis tool to determine, it was significant.
They used it to get everybody ready.
I live in the area, I know, it really didn't make an impact on folks.
They did know what to expect.
The truth of the matter was when they demonstrated, everybody shows up, it will look like this, it really reduced the demand, they never really got the level of congestion they predicted because they scared away folks.
Later on in the project people got more used to the fact they were predicting long delays,
and the accuracy of the forecasts became higher because people were beginning to some degree discount the very high congestion being projected because they were experiencing something less than that.
In any case, having an answer, setting expectation for the public is an excellent rule for model analysis.
However, you think your homework will be checked, you need to be sure the data you, the tools, you put together, can be validated, verified.
You want to be able to say yes, we were off today by five or ten minutes, we'll do better next time.
You want to be the one to make the statement, not have someone else tell you how accurate you are.
The operations bullet, management strategies, core network management, and as Dan mentioned earlier, the safety issue hasn't necessarily been a prime focus of our work so far,
though clearly they are so connected you can't in some cases break them apart.
Interesting example from Utah where there was a major piece of work on I15, their primary, one of the primary measures of effectiveness, considering a contracting issue.
The number of crashes that would be reduced by using a certain type of approach to get the work done more smoothly, more rapidly.
In this case it was a combination of full model, regression analysis on the outputs to identify total crashes and crash rates, very interesting application that we didn't see in a lot of other places to bring the work zone
and safety elements together.
Again, in volume 9, that comes out, there are full reports on each of these case studies, I am giving you teasers.
There's a full list of the models used, results.
So the data availability, data quality, we have a big graphic that deals with some of our observations with this particular issue.
Again, it's one that most people have some understanding of.
They understand that having data is important, but I think that really, one of the key observations we are making, depending on where you are in the project lifecycle, you may be able to have a significant
or positive impact on the overall ability of safety in the region you are considering if you are able to discern between various attractive alternatives with rough estimation using limited data,
and with relatively low demands on how accurate that is.
As soon as you can get a rough order magnitude, then move toward, the type of decisions supported, tools deployed, what we are trying to differentiate between, really that becomes a higher requirement,
more of a role for the more complex simulation type tools, come later.
Generally has been our observation.
Those require more detailed data, generally can be very useful, we're not discounting their value here at all,
but the point is you may not have the luxury in terms of resources to be considering very different kinds of general approaches in the planning phase with a simulation model, or a very complex one that's regionwide, something like that.
You may not have the resource, data available at that moment to support the decisions.
Later on they may make more sense.
You will see when I talk more about the project level application of tools, some agencywide methodologies for using tools, how plain the tradeoff becomes as a key element of what works with modeling in their area e.
The agency resource I alluded to briefly before, includes things like funding, staff, schedule, sometimes there may be data available, may be a model that could be run, but if you come to a problem requiring an answer very rapidly,
unless the tools are built, calibrated, ready to answer the question, you may not have the schedule, the ability to react quickly, nimble enough to deploy tools in a way that answers the mail.
That is a key consideration that sometimes knowing decisions you plan to support is critical, having an answer for them,
and sometimes having a resource available to answer the questions that were unanticipated is also very valuable indeed.
The top, institutional arrangements, who does the modeling typically done inhouse, use consultants, all those things work into who has the data, who has the models available essentially to deploy.
Not every time do you need to build a network and calibrate a model from scratch, there may be existing resources drawn if the appropriate institutional arrangements have been made.
So this last one here in terms of characteristics, includes performance measures, usual suspects are at the top of the chart, the ones we have seen most frequently.
Cost for some, travel time delay for others.
In any case, having an idea of what the hot button issues are, having that list available, letting that be a key determiner in the type of tools, data, approaches you make can really pay off later, rather than be surprised later,
this particular stakeholder is really interested in crash rates.
If you are not in a position to deal with that travel time, liability you need to be able to it's good to, before you make the decision, if the tool can't give you reliable measurements you may find yourself in a difficult situation.
Those are some general, moving from the very high level, how decisions are made through the process to some concept of how are we looking at the work zones.
What types of characteristics are important when you think about a modeling approach.
Now I will speak more specifically how we take those kinds of information and guidance and do something like choose a modeling approach.
There are a spectrum of tools available to Ann analyst, simple to complex, a lot of people have experience with HPM, HPS type of to the folk who is run a specific type of microsimulation model all the time.
These guys range from simple to complex spectrum, not only in terms of their functionality, what they do; but also in the level of detail, inputs they require, time they require to run or apply, the amount of training required.
In some cases the cost of acquisition, but care, feeding and maintenance of such tools and their networks.
It's not easy to put them all on the same scale like this, but here are examples of tools, example tools; not selected or federally designated.
The tool, at the simple level, sketch planning, through macro level tools like and macro and microscale tools.
For those unfamiliar with some is of these terms, couple good resources to go to rather than have me talk about what each of these entail.
The macro, meso and micro are types of simulation tools readily available that include network level analysis.
There's a pretty good discussion of those in the traffic analysis tool box volumes out there.
I won't repeat them here.
You get to the microlevel, you are looking at individual vehicle movement, lane position, macro you look at modeling representation, part of a flow throughout a system.
So, in terms of getting your head around a comprehensive work zone analysis methodology, we observed there are several different tactics people deploy.
These are generally for the bigger projects.
It's been observed that sometimes the decisionmaking planning, what happens down stream, design, construction, sometimes it's very difficult to identify the change tools in between, which tool actually had the so many inconsistencies,
you may find yourself going forward and backward, the tool, planning pushed us to night work, but when we get into looked like night work wasn't required as all.
You are caught in a trap between tools.
That's sometimes a problem.
One approach to try and deflect is to use a mono scale, decide from the binning to use one type of tool, may be overkill in the early process, but we will invest, use it all the way through.
Consistency is the strength of a mono scale approach, the weakness is you may or may not be able to identify the best tool right up front, be able to carry it all the way through.
The most typical type of, general methodology is the screening technique where you use higher level tools to begin with, to sort out various kinds of general broaches
and as the detail requirements become higher to differentiate between different shades of traffic management control, bringing in more detail models, take care of that.
Finally examples of multiscale modeling, a sketch planning tool, mesoscale tool, and a microscale tool, all be deployed in conjunction with one another throughout the duration of the project, usually the very biggest,
the kinds of approach they are taking in integrated corridor management projects.
The nice thing about multiscale is you have every tool in your tool box, available to answer questions, support decisions.
The down side is this is generally the most expensive way to approach it, you have to have various expertise, data in each of the different categories and sometimes you have to deal with the inconsistency tool,
one tool tells you one thing, another tool another.
You spend time reconciling differences.
But all are legitimate ways to approach the problem.
In terms of identifying a modeling approach based on the characteristics and where you are in the process, here's an example where you use a simple two dimensional diagram to talk about very complex issue.
First, the X axis, the level of detail required to support a particular kind of decision, maybe it's more complicated to differentiate between our crossover and straight diversion and geometrically for a decision,
or you are differentiating between a single season or multiseason kind of approach.
Then on the Y ax ix is the low to high range.
How much funding, staff time, schedule, do you have to deal with this particular issue?
That may run from low to high.
We use this relatively simple diagram, then try to identify where we found our case studies, how we would label them, put them down, found there's a frontier essentially that runs in an S shaped curve across the center of the diagram.
On the bottom half here, where there's very limited, relatively limited resource availability, but a high requirement for detail, we found almost no well, few successful case studies that really worked well
and we found many actually in the green area up here, makes complete sense, if you are trying to do a detailed job with limited data and resources it's a high-risk proposition.
When you have a more appropriate way, balances the two elements, the impact of the modeling, value of the modeling becomes much higher.
I talked about the case studies before, now I will bring the same chart, X and Y axis, bring in all the case studies, plot where we feel they fell in the spectrum, they are all above the line here,
including ones that didn't have a ton of resources applied.
Within these, interesting to see they could be broken down essentially by approach as well.
Color coding as I go through, similar types of approaches.
Down in the bottom you see the LCA and those are quick analysis of sketch planning tools for data in the upper, Detroit, Woodrow Wilson bridge,
examples where simulation tools were brought in with relatively high level of resource availability.
All the various ones in between, scale models, continuing to click through to see the patch work take away the names of the case studies, replace them by the type of tool, and the network,
we get a very interesting pattern that looks like this.
Sketch planning, ACM tools occupying the bottom right hand, and the value of the macroscopic analysis moving up through the upper right hand part, and the more critical in the median range, microscopic, and multitool use,
showing up in the cases with the highest resource availability, and the most difficult questions to answer.
We hadn't necessarily expected to find this when we started, but in any case they fell into interesting patterns as we looked through and were able to plot them in this way.
I am going to wrap up before we move to the Q&A period.
I will offer general conclusions we have gotten generated from our efforts so far, generally some of the key conclusions in the documents we are putting together.
A lot are in some ways hard to really argue with, and in case of what you might want to be doing with models.
One, the results you generate from models are there to really improve overall understanding.
So, in a lot of categories, financial, environmental they support decisions in these areas.
The results are never viewed in a vacuum, but through the prism of the agency, entity performing analysis and ability of the person doing the analysis to provide convincing evidence that the tool is providing accurate results.
Even in those cases it's never the case where the tool drives the decision.
The tool provides information to a broader decisionmaking process.
So therefore, modeling should never be used to make key decisions or at least be perceived that way, a trusted resource in identifying potential impacts that inform key decisions.
That's a very typical observation.
Another one, the value of analysis directly to the context for analysis and validation, maybe a fancy way of saying the value of analysis typically resides in how well the analysis itself fits the decision that needs to be supported.
If you have context for analysis, made good decision about data and tools to support a specific kind of thing, that different rates between diversion rates, multiyear single season construction,
it's very straightforward to convince people it's valid and you can use it.
Validation, same observation here, in some cases you can demonstrate the tool itself produces reasonable results is very useful.
In many cases if you can't do that it's very hard to generate a level of interaction and trust with the model and decisionmakers, in some cases it's easier said than done.
In some cases you are trying to evaluate things that are not, do not exist yet, far off in the planning phase in the future.
If some element of that, the current state that can be used to provide the context for validation, this is true for all models, not just the most complex,
it generates a level of trust from the decisionmaker making the results much more useful.
Analysis is beyond running the report and the results, you have to be able to explain all the things I just talked about.
Context for analysis, validation, and why the tool itself and analysis you performed is actually the most appropriate for informing the decision.
It must connect the broader understanding to the findings of the analysis, decisions being supported.
And I think, that is my last slide of general content.
I am going to move to the next one which show some available resources online, they are all excellent, have used them extensively to organize our thoughts and efforts.
With that, I will I turn it back over to Dan.
Okay.
Jennifer, should we go into the chat questions first or open the floor?
Jennifer: I am going to chat questions first, get through those, then we can open the phone.
First question is from Mr.
Utly.
Where was safety not included as a performance measure?
If I were to take a crack at that, well, safety in the general context is in the overall document, as far as the state element of it.
However, as we went through the comments, what not, looked at the comments of both the and the guidance and the primer, we decided we didn't want to focus on safety,
but just generally look at the context of safety so we would not make this a safety document.
We really wanted to focus on the, for example, ability, in terms of work zones.
Safety, essentially is in everything we do, it's always priority one.
We didn't want to make is a safety document, wanted to focus on the mobility, as far as the work zone was concerned.
Carl, anything you want to add?
Excellent question.
Dan's comments were right on in terms of safety being critical, important to everything done in this area the other thing to consider is that the realm of tools,
analysis methodologies available to do mobility analysis are significantly more predominant, in the practice, more options, than there is for safety impacts.
We didn't run away from that topic particularly, it was our focus primarily on mobility stuff.
The case like in Utah, innovative application of the results, mobility related results transformed into estimated safety impacts.
I think we have noted where those occurred.
Dan: The next question is from Ming Yang, I think University of Maryland, college park.
It is question is what land closure are most frequently used in work zones?
Carl, I will defer to you.
I am not sure I necessarily understand completely, lane closure schedules is a critical element.
We didn't talk much about the New Jersey application where they have the turnpike, statewide application that takes data from the Easy Pass system to determine feasible lane closure systems, when to take away a lane or two.
It can be utilized by anyone, that data, with access to the system that works for the turnpike authority.
That's been a very successful way of looking at it.
In general it's a move away from the lane closures allowed certain times or types a day as a written policy, but a more flexible one relating to the traffic seen at that type time of day or day of week or season even,
part of the analysis to determine whether or not lane closures make sense.
Other states have similar types of screening tools that are used for maintenance construction applications.
Larry's question is next, Indiana Department of Transportation, how often do you find message signs should be used I will take a crack at this one.
It's been my experience that most times the changing message signs are being used where the queues are slow to build or you don't see the back of the queue due to a work zone, as you approach it.
Generally the changeable message signs are put in at a point where you can make an informed decision as far as the do detour route, you wouldn't immediately run into the queue, place it well before that.
Carl: That's an excellent take on, exactly right.
The placement, when they should be used is a difficult question altogether, relates to the types of decisions people are age to make with respect to avoiding the delays.
Some cases where most folks are over the road, encounter the sign, first chance to look at it.
If you have a viable route diversion opportunity available, signs are terrific.
For networks the geometries, a pipe, isolated, no viable alternative route, you have to think about where are you trying to intercept the traveler, influence their choice?
It may not be necessarily in terms of route diversion.
You may want to provide information that allows them to change the timing of their trip, the mote of trip, if it's an urban application.
The value is related to the types of decisions you hope to influence with the traveler.
Next question from Pat McCarthy, Indiana Department of Transportation, what are the functional differences between Q98 and I am not too familiar with Qs98 auto first thing I notice,
for quick a cleaner report as far as displaying results, as opposed to the Qs98.
In terms of putting the information in to actually run the two softwares, I have not had any experience using Qs to that extent, but I have seen results of Quick Zone test produces a cleaner report.
Carl?
Carl: I have used both tools, I like them both we did develop quick zone, so know more about it basic types of outputs, delays, extent of Queues, similar, the general method logical approach, we did several tests to make sure Qs 98
and quick zone are the, produce the same general estimates of the we tried to administer functionality with quick zone, wrapped around the basic analysis, computation so one could rapidly do multiday, multimonth, multiyear,
phase analysis.
Quick zone, you get started seems more complicated, daunting, but if you are doing a lot of shifting around of analysis, is this a better day, week, month, better than quick zone because it does what if analysis.
This question is from German, last name, came to presenters.
The question is can federal highway provide technical assistance in modeling complex work zone impacting interstate and freeways?
The answer to that is yes, we have some inhouse expertise that are available and we also do a lot of work zone peer-to-peer program.
I have written your name down, and we will contact you offline to give you more details information, especially for peer-to-peer program.
Next question is from miss K ming Yang, University of Maryland, college Park.
Are construction contracts included in the decisionmaking process?
I assume you are talking about this effort here.
You had contacts with these folks, I would defer.
Carl: That's an excellent one, in particular the impact of the contracting vehicle being considered as well as the drivers of work zone delay reduction and crash mitigation,
it's well drawn out of our case study in Utah where they did look at, essentially what would happen if they contacted you to do the work in various ways based on how long they expected the different phases to last,
whether with streamlined build, versus no build, and did an estimate A modeling estimate to drive values to come back, say the way we are contracting this, I can't remember which it came up the best.
Specific combination of contracting vehicle plus approach had the best overall projected impact.
So absolutely, that including to the extent possible, thinking about contracting, impacts on scheduling applications, management plan, that needs to be, can be included in a modeling analysis.
Okay.
Had is from the Wisconsin D.O.T.
As noted in the presentation, work zones effect demand as well as capacity.
For example, reduced volume on the Woodrow Wilson bridge, will there be guidance on how to access these reductions?
Carl?
Carl: That's a terrific question.
I think that we do not have any, at this point, any we will address it, do talk about it, included in the Woodrow Wilson bridge case study analysis.
We talk about it in some of the issues when we talk about the traffic management plan, provision of traveler information, based on what to expect.
I think I may be reading more into the question than is necessary, but we would all like some rule of thumb, analytic projection based on what we say about expected traffic.
We do not have good examples of that yet that would allow one to make those kinds of sections.
In any case, my last point this issue is that even if we did, were able to do it for Woodrow Wilson bridge, for example, I think the context for travel in the various areas, alternatives available, travel demand characteristics,
ability to adapt themselves to the new conditions predicted make a little bit of a trial and error in any case.
If we were able to come up with a set of factors, a dream, wish for factors what I am not sure those values would necessarily hold weight for some area in Wisconsin, for example.
The geometry type of travel might be completely different.
All right.
Thank you, Carl.
Next question is from Doug.
Given the variance in daily traffic loadings and the unknown effects of public involvement campaigns in communicating work zone schedules, how confident can we be that macro
or micromodelling be produce results even remotely closely to what we might experience?
Carl: I thank you for the question.
It's about the context for validation.
In many cases people have gotten burned by models that weren't able to give a good feel for how accurate the estimates are expected to be.
The question is loaded, in like, gee, can we ever expect it.
I think we can, but only urn out conditions where we have good data, appropriate models and a way of placing the context for validation that says okay, we don't know exactly,
haven't done this particular type of closure before in this area, but if we do, some other traffic impact similar, we have good data on the amount of impact, extent of whatever the key performance measures are,
the tool can turn up something in the range we can understand.
Then I think we are beginning to get to the point where we can answer your question with a more authoritative yes.
I give it a qualified yes, we can use those types of tools to produce those things, but we need to be careful about making sure we have the right data, the right tools, the right way of explaining to people about what the outputs mean.
Okay.
Next question, can [indiscernible] be used in work zone in the construction zone?
Carl: Absolutely.
It's definitely a tool to consider, we didn't find a lot of examples where people had used Sink row specific ole for this type of analysis, more for time life on diversion in travel.
I am not an expert reflective of what will happen, those type of tools, the traffic control tools have an important role in the general overall work zone analysis methodology.
Next question is at what point do you decipher between using a freeway standard versus multilane standard?
Carl?
I am afraid I don't know what this question implies.
Right.
Right.
Maybe we can, when we open it up, our participate can elaborate more.
Might be useful.
Next, a comment from Tracy, federal highway.
In regard to the safety impact measures question under the work zone safety grants program, federal highways working with, I think IT?
IIT to develop materials to support agencies work zone audits, accessing work zone safety impacts using a similar to safety audit teams.
Okay, next question came to the presenters, from YoungLy, have you measured the accuracy of those tools with field data, the common challenges to use those available tools?
I will take a stab at part of this.
One of the things, challenges, depends on the person using the actual software, like for instance if you have planners.
Planners are generally used to running models, not a big deal to them, as well as they have most of the data right there on hands.
Whereas, as it gets down to construction folks, construction folks aren't generally used to running models, and at times it could be a challenge.
More of a challenge as I mentioned before than it is with planners or traffic engineers used to running these models.
Carl?
I think it's an excellent question, goes back to one of the things we need to try and depart from is the idea that a model is either accurate or inaccurate.
I think almost any of the commercially available models out there, various types, ones that have had longstanding use, all down the spectrum from sketch planning to simulation tools,
every one of those tools have been used successfully and unsuccessfully.
Used in the work zone realm, produced excellent results sometimes, sometimes they haven't.
The reason why sometimes they are very accurate is because someone has taken the time to do a legitimate analysis, complex validation, come back, say, experience with Quick Zone, got numbers that were stratospheric, didn't believe,
dissed about the data put in, put in the typical volumes, closed four out of five lanes, got a huge delay.
Well, sure .d
You tell the model, big network, people have a lot of places to go, more appropriate to use a just to disperse into the network, not the facility built into it, maybe it wasn't model data choice, never validated.
Compare that to examples of people using it very effectively by collecting date meticulously the amount of delay, number of vehicles in the stack zone.
Key message in this area is that the tools themselves are not accurate or inaccurate, analysis can be accurate or inaccurate.
It's a combination of who is doing the work, what the data is, and is it tool an appropriate one.
That's all the questions on the chat
I was going to mention, I got a clarification, sent to me, on the freeway versus multilane question, relates to the highway capacity manual, how it differentiates analytical approaches.
Does that help clarify the question about using a freeway standard versus a multilane standard?
No, not to me, I can't
Carl: Unfortunately, I am not an HCM expert.
I understand, will take a stab, may know roughly what the question is about.
There's two ways of thinking about analyzing HCM based on the freeway standard or multilane, which is most appropriate in terms of identifying flow rates that can be maintained urn out certain conditions.
I think that if I were to try to answer this in the absence of knowing enough about it particularly, I would say that if you try to differentiate between facility that's could apply to one of two different standards,
the best way of actually making that decision isn't necessarily to look at geometry, but to the effect, how much flow is being carried on that facility under the prework zone condition.
If the rates you observe, the vehicle per lane basis look more than you are looking at a freeway.
If you are looking at something else you fall into one of the other categories.
We have functional classes of facilities based on preconception of what's on them, how they look.
In some cases, some deployments you get facilities that carry more traffic than you expect, they react more like high volume facilities, and have characteristics more like high volume than low volume.
I am afraid I may not have helped answer the question.
We have a little time left, we can open the phone lines if anyone wants to clarify further, fell free.
Would the operator give instructions on
If you would like to ask a question press star one, unmute your phone and speak clearly.
Our first question is from Harris.
I wanted to ask more about the multilane versus freeway standard you were talking about, however I just got on the audio portion not too long ago, I don't know the initial response.
The last I heard was verifying through the HCM manual to decipher the two, and looking at the effects of it, to give you a general background.
It is four lanes in each direction and comes into the city, transfers to a multilane versus freeway, and there is an express way that is just West of it prior to it coming into the city.
I don't know if it that gives you additional information or not.
Carl: I don't think I am a big expert on this issue as the application of ACM.
I can say generally if you have good volume and speed counts on the facility, area you are trying to characterize,
those data may be very valuable in driving you towards the decision of which one of these two ways of characterizing the system.
Perhaps you didn't hear or maybe it wasn't useful, what I said before, but it's been our experience in analysis, that in general, high volume, highspeed facilities tend to react very similarly, versus low ones,
so if the work you are thinking about doing is in an area where the change is in terms of geometry, it would be good to look at the characteristics of the area, if you have them, and when you are going to analyze using HCM
or any other technique you know more of what you are looking at.
You have a high volume, high speed on certain segments, you are better off using standards more like the freeways that the other facilities.
All right.
I guess two agencies, we are going back and forth as far as which standards to use.
On one side you have a speed limit of 45, once you cross over, another express way system, most traffic disperses on that perpendicular express way system.
Once it comes into the city your speed drops from 45 to 30.
That's, sure
Not like a highspeed, already lowspeed, we talk about 70,000 vehicles in one direction.
Lower speed.
Highly traveled.
The question I ask is, if this is a work zone related question, where do you expect the bottleneck to be when the work zone is deployed?
I would say prior to the perpendicular express way, you can reroute, once you reduce lanes, a lot of the traffic to another express way system, versus coming into the city.
I don't know enough about the situation, but it sounds like if your bottleneck is upstream of, relatively high speed and high volume, the type of tools, approaches you might think about [indiscernible], sketch level, HDS,
upstream of that position I think the rates you would see are probably more like the freeway than if the bottleneck was farther past that perpendicular, lower speed, lower facility.
That's where's the bottleneck going to form.
That's the driving analysis.
What happens down stream will be metered by what happens upstream, really where your delay will will quickly congest something down stream.
The bottleneck position a the most critical piece.
Thank you.
Do you have anything else or
Carl: I'm all talked out.
I will close out with information about the national organization of the NTOC, you can go to the website to find out more.
The webcast archive page, previous talking operations webcast, slides, recording from today's Webinar will be up in the next day or so, I will send you an email when it becomes available.
Up find two discussion forms, one focusing on high level, strategic issues and other on IPS deployment and lessons learned.
We have another talking operations Webinar tomorrow, and that will be on travel demand management strategies.
If you go to the NTOC website there's a late signup if you are interested.
You can sign up for the NTOC newsletter, sent by email twice monthly, you can view cervical dares on the website, one listing ITS, meetings, conferences and events, and the other is operations related trainings.
And a set of operations and resources and links available on the website as well.
That concludes the webcast today, thank you to Daniel and Carl, the audience for questions, and with that, we will close out and everybody have a great rest of the day.
Thank you very much, everybody.
Thanks.
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