Estimating link travel time functions for heterogeneous traffic flows on freeways

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  • Zhaoyang Lu
    Department of Civil and Environmental Engineering National University of Singapore Singapore 117576 Singapore
  • Qiang Meng
    Department of Civil and Environmental Engineering National University of Singapore Singapore 117576 Singapore
  • Gabriel Gomes
    Institute of Transportation Studies University of California Berkeley 3 Mclaughlin Hall CA 94720 U.S.A.

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<jats:title>Summary</jats:title><jats:p>Oversized vehicles, such as trucks, significantly contribute to traffic delays on freeways. Heterogeneous traffic populations, that is, those consisting of multiple vehicles types, can exhibit more complicated travel behaviors in the operating speed and performance, depending on the traffic volume as well as the proportions of vehicle types. In order to estimate the component travel time functions for heterogeneous traffic flows on a freeway, this study develops a microscopic traffic‐simulation based four‐step method. A piecewise continuous function is proposed for each vehicle type and its parameters are estimated using the traffic data generated by a microscopic traffic simulation model. The illustrated experiments based on VISSIM model indicate that (i) in addition to traffic volume, traffic composition has significant influence on the travel time of vehicles and (ii) the respective estimations for travel time of heterogeneous flows could greatly improve their estimation accuracy. Copyright © 2016 John Wiley & Sons, Ltd.</jats:p>

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