AHB45
Committee on Traffic Flow Theory & Characteristics
Transportation Research Board
National Academy of Sciences
 
     
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Greenshields Prize

On July 10, 2008 after the successful Greenshields 75 Symposium, the Committee on Traffic Flow Theory and Characteristics established the Greenshields Prize, named in honor of Dr. Bruce D. Greenshields, a pioneer in our field. The committee may award a Greenshields Prize annually for a paper submitted for both presentation and publication through the TRB Annual Meeting paper submission process. The paper review subcommittee will annually forward a set of top papers to the Greenshields Prize subcommittee that will then review the papers and attend the presentations and will determine whether to make a selection after each Annual Meeting. Members of the subcommittee may also add papers for consideration when attending the presentations. The Prize will be announced at the following mid-year meeting and presented at the following Annual Meeting. The selected paper should be in the spirit of Dr. Greenshields’ work, basing sound theory on rigorous empirical analysis and will be reviewed based on these four main criteria:

  • Novelty and originality of material.
  • Experimental support of results.
  • Quality of writing and presentation.
  • Practical applications or implications of the study.

    • The committee will periodically review these criteria and procedures based on actual experience.

    2011 Inaugural Greenshields Prize

    We are pleased to announce the first Greenshields Prize! Photo and link to paper to be added soon!

    TRB Paper No. 11-4034
    Transportation Research Record No. 2249 pp. 62-77
    Correlated Parameters in Driving Behavior Models: Car-Following Example and Implications For Traffic Microsimulation
    By Ji-Won Kim and Hani S. Mahmassani

    The paper presents a detailed analysis of the existence and extent of such correlation between behavioral parameters in car-following models and its impact on microsimulation results. The correlation is often disregarded when calibrating simulation models because individual parameters are independently and randomly drawn for each driver assuming they are uncorrelated leading to inaccurate output. This study quantifies the impact of ignoring correlation for three representative car-following models and proposes the use of a parametric distribution with known correlation structure to significantly improve the results. Model testing was undertaken using NGSIM datasets. The paper provides guidance on capturing correlation in miscrosimulation and will certainly lead to more accurate calibration procedures in the future.

    2012 Greenshields Prize

    Results from the 2012 Greenshields Prize deliberations will be announced at our Midyear Meeting on June 19, 2012 in Fort Lauderdale, Florida.

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    Disclaimer: Any opinions, findings or conclusions expressed on this website are those of the authors and do not necessarily reflect the views of theTransportation Research Board or the National Academies.
    Last updated: Saturday, May 19, 2012 11:05 AM
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