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Gap-Acceptance and Empiricism in Capacity Prediction

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  • R. M. Kimber

    (Transport and Road Research Laboratory, Crowthorne, RG11 6AU, United Kingdom)

Abstract

The paper compares the results of extensive measurements of the capacity of nonpriority traffic streams at major/minor junctions and roundabouts with the predictions of models based on gap-acceptance theory. There are significant differences in the form of the relation between the capacity and the traffic flows in the priority streams. The simple gap-acceptance models are poor predictors of the capacity in the United Kingdom, for they seriously overpredict at low values of priority flow and underpredict at high values. At the lower values the gap-acceptance predictions can only be made to agree with the results of the empirical measurements by introducing a dependence of the “move-up” times on the value of the flows in the priority streams. The discrepancies at the higher values of priority flow are probably due to gap-forcing and priority reversal, both of which are commonly observed in the United Kingdom, but whose occurrence may vary from one country to another as a result of differences in driver behavior, legal sanctions, and enforcement policies. Several gap-acceptance models of roundabout capacities are compared and are found to be mutually inconsistent.

Suggested Citation

  • R. M. Kimber, 1989. "Gap-Acceptance and Empiricism in Capacity Prediction," Transportation Science, INFORMS, vol. 23(2), pages 100-111, May.
    • Handle: RePEc:inm:ortrsc:v:23:y:1989:i:2:p:100-111
    DOI: 10.1287/trsc.23.2.100
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    Cited by:

    1. Troutbeck, Rod J. & Kako, Soichiro, 1999. "Limited priority merge at unsignalized intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(3-4), pages 291-304, April.
    2. Xin Chang & Xingjian Zhang & Haichao Li & Chang Wang & Zhe Liu, 2022. "A Survey on Mixed Traffic Flow Characteristics in Connected Vehicle Environments," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    3. Bonsall, Peter & Liu, Ronghui & Young, William, 2005. "Modelling safety-related driving behaviour--impact of parameter values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(5), pages 425-444, June.
    4. Liu, Ronghui & Van Vliet, Dirck & Watling, David, 2006. "Microsimulation models incorporating both demand and supply dynamics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 125-150, February.

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