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The Analysis and Interpretation of Gap Acceptance Data

Author

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  • Robert Ashworth

    (Department of Civil and Structural Engineering University of Sheffield, Sheffield, England)

Abstract

Alternative methods of analysing gap acceptance data are considered with a view to removing the bias implicit in the situation in which minor road vehicle drivers exhibit consistent behavior and all accepted and rejected gaps are taken into account. Simulation techniques are used to show that some of these suggested methods are invalid, but verification is obtained for a method derived by the author in an earlier paper that simply requires the displacement of the gap acceptance curve time scale by an amount equal to the product of the variance of the observed gap acceptance distribution (sec 2 ) and the major road volume (veh/sec). This, it is contended, is easier to apply than an alternative method of estimating the critical gap distribution parameters given by McNeil and Morgan. A theoretical relation is determined between the mean of the critical gap distribution and the Raff critical lag that shows the two to be equal only when the gap acceptance curve takes the form of a step function.

Suggested Citation

  • Robert Ashworth, 1970. "The Analysis and Interpretation of Gap Acceptance Data," Transportation Science, INFORMS, vol. 4(3), pages 270-280, August.
    • Handle: RePEc:inm:ortrsc:v:4:y:1970:i:3:p:270-280
    DOI: 10.1287/trsc.4.3.270
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    Cited by:

    1. 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.
    2. Velan, Shane & Aerde, Michel Van, 1998. "The impact of driver and flow variability on capacity estimates of permissive movements," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 509-527, September.
    3. Arshad Jamal & Muhammad Ijaz & Meshal Almosageah & Hassan M. Al-Ahmadi & Muhammad Zahid & Irfan Ullah & Rabia Emhamed Al Mamlook, 2022. "Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions," Sustainability, MDPI, vol. 14(23), pages 1-13, November.

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