Notes from the Director

21 April 2006 - Next Generation Simulation at FHWA

During the past two days, we hosted James Colyar, former UI student (BSCE, 1995) and currently a transportation research engineer with the Federal Highway Administration's  Turner Fairbank Highway Research Center in McLean, Virginia.  The purpose of the visit was to introduce James to our transportation research and education programs and to learn more about FHWA’s work in the development and support of traffic analysis tools and simulation.

In a presentation to one of our graduate classes in transportation, James described FHWA’s new role in traffic analysis tools as complementing that of the private sector.  While the private sector will develop the user interface that wraps around the modeling tools, FHWA will support the basic research for the driver behavior algorithms that are the basis of these tools.  They will also support the development of the data bases that are needed for this research.  FHWA will no longer be in the model development business, but will support the research needed for the next generation of simulation models.  CORSIM, long-supported by FHWA, will now be licensed to McTrans at the University of Florida.  McTrans will guide future development of CORSIM.

FHWA is now completing a six volume traffic analysis toolbox that will support end users as they determine which tools are most appropriate to the problems that they need to solve and with guidance on the use of simulation models.  James noted that “better models enable better decisions”, and that their toolbox will do just that.  Here is a link to their traffic analysis toolkit:  http://ops.fhwa.dot.gov/trafficanalysistools/toolbox.htm.

FHWA’s support of simulation models is now through the NGSIM project.  The purpose of the NGSIM (for “next generation simulation models”) project is to improve the quality, trust, and use of simulation tools.  The end products from NGSIM are (1) better driver behavior algorithms, (2) new data sets that support the algorithm development, and (3) free access to both the algorithms and data sets.  The first new algorithm, a new lane changing model, is now being tested in the VISSIM, Paramics, and Aimsun simulation models.  VISSIM is marketed by one of NIATT's partners, PTV America.  Three stakeholder groups are represented in the project: traffic modelers, software developers, and model users.

FHWA has released four data sets as part of the NGSIM project.  The data sets, as well as other information on the project, can be found at www.ngsim.fhwa.dot.gov.  The data were collected using very high resolution cameras, located on buildings that are at least 20 stories high, to provide a complete visual perspective of the highway segment under study.  Vehicle records are at 0.1 second resolution, with positions accurate to within one foot.  The x/y coordinate location for a vehicle is by its front bumper.  The newest data set (just released last week) includes 30 minutes of data for an arterial in Los Angeles, with 4 signalized intersections.  Signal timing status is at one second resolution.  This arterial data set is relevant to work that we are doing at NIATT on traffic signal control and operations, particularly in our work to better understand the role of traffic signal timing parameters on intersection operations and in the selection of the appropriate intersection measures of effectiveness.

NGSIM data are being extracted using new image processing software.  The NG-video process includes data collection using the high resolution cameras, image processing, trajectory extraction, and post processing and error checking.  The camera resolution required for this processing is one pixel per foot.

You can review the presentations that James Colyar made during his visit at the following links:
Oversaturated Freeway Flow Algorithm: Research Plan
FHWA Traffic Analysis Tools & NGSIM Program
Careers in Transportation & FHWA

You can also contact James if you have further questions on his work at James.Colyar@fhwa.dot.gov.

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E-mail:   niatt@uidaho.edu

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