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Useful estimation procedures for critical gaps

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  • Brilon, Werner
  • Koenig, Ralph
  • Troutbeck, Rod J.

Abstract

Many different methods for the estimation of critical gaps at unsignalized intersections have been published in the international literature. This paper gives an overview of some of the more important methods. These methods are described by their characteristic properties. For comparison purposes a set of quality criteria has been formulated by which the usefulness of the different methods can be assessed. Among these one aspect seems to be of primary importance. This is the objective that the results of the estimation process should not depend on the traffic volume on the major street during the time of observation. Only if this condition is fulfilled, can the estimation be applied under all undersaturated traffic conditions at unsignalized intersections. To test the qualification of some of the estimation methods under this criterion, a series of comprehensive simulations has been performed. As a result, the maximum likelihood procedure (as it has been described by Troutbeck) and the method developed by Hewitt can be recommended for practical application. ©

Suggested Citation

  • Brilon, Werner & Koenig, Ralph & Troutbeck, Rod J., 1999. "Useful estimation procedures for critical gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(3-4), pages 161-186, April.
    • Handle: RePEc:eee:transa:v:33:y:1999:i:3-4:p:161-186
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    1. R. H. Hewitt, 1983. "Measuring Critical Gap," Transportation Science, INFORMS, vol. 17(1), pages 87-109, February.
    2. Mahmassani, Hani & Sheffi, Yosef, 1981. "Using gap sequences to estimate gap acceptance functions," Transportation Research Part B: Methodological, Elsevier, vol. 15(3), pages 143-148, June.
    3. Robert Ashworth, 1970. "The Analysis and Interpretation of Gap Acceptance Data," Transportation Science, INFORMS, vol. 4(3), pages 270-280, August.
    4. Daganzo, Carlos F., 1981. "Estimation of gap acceptance parameters within and across the population from direct roadside observation," Transportation Research Part B: Methodological, Elsevier, vol. 15(1), pages 1-15, February.
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    3. Pollatschek, Moshe A. & Polus, Abishai & Livneh, Moshe, 2002. "A decision model for gap acceptance and capacity at intersections," Transportation Research Part B: Methodological, Elsevier, vol. 36(7), pages 649-663, August.
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    8. Zhou, Hao & Toth, Christopher & Guensler, Randall & Laval, Jorge, 2022. "Hybrid modeling of lane changes near freeway diverges," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 1-14.

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