Traffic volume counts are used in transportation planning, design, operation, and safety analyses. A new methodology establishes a statistical basis for comparing traffic volumes generated from different samples. Monte Carlo simulation was used to generate a cumulative probability function (CPF) of traffic volumes based on the fit-of-Weibull probability distribution to a particular traffic sample. A 90% confidence interval of the traffic volumes from a given traffic sample was obtained from the CPF and was used to compare different traffic samples. A case study was performed by using this methodology to determine if shorter time-frame data may be used to represent longer-time traffic. Results from the case study show that traffic at 20-min intervals may be used to represent 1-h traffic when moderate to high traffic volumes are considered. It was observed that subsamples failed to represent the 1-h traffic data for lower traffic volumes of selected vehicle types.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Monte Carlo Simulation in Sampling Techniques of Traffic Data Collection


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2002-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Monte Carlo Simulation in Sampling Techniques of Traffic Data Collection

    Williamson, D. G. / Yao, M. / McFadden, J. et al. | British Library Conference Proceedings | 2002


    Studies on Complete Sampling for Monte Carlo Simulation

    Chengjun, C. / Zhaohong, B. / Xifan, W. | British Library Online Contents | 2002


    Importance Sampling Based Direct Simulation Monte Carlo Method

    Vedula, Prakash / Otten, Dustin | AIAA | 2010


    Inverse Temperature Sampling under Direct Simulation Monte Carlo Method

    Qunwu, H. / Qiuwang, W. / Xiaona, S. | British Library Online Contents | 2006