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Estimation of regional trip length distributions for the calibration of the aggregated network traffic models

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  • Batista, S.F.A.
  • Leclercq, Ludovic
  • Geroliminis, Nikolas

Abstract

The calibration of trip lengths is an important challenge for multi-regional MFD-based applications, as it can influence the dynamics of regional densities (and speeds). Existing research has not paid significant attention in the topic, giving opportunities for answering some fundamental questions. In this paper, we propose an original methodology to explicitly determine trip length distributions based on a subset of trips in the city network and its partitioning. Since the full description of all realized trips is difficult to estimate for a large city network, we propose to define a set of virtual trips corresponding to a full coverage of potential local origin-destination pairs and shortest-paths in distance. We investigate how different levels of information can influence the accuracy of the multi-regional dynamic MFD-based models, through the estimated trip length distributions. This information ranges from regional trip lengths without any information of origin, destination, previous or next regions up to the specific regional path associated to each trip.

Suggested Citation

  • Batista, S.F.A. & Leclercq, Ludovic & Geroliminis, Nikolas, 2019. "Estimation of regional trip length distributions for the calibration of the aggregated network traffic models," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 192-217.
    • Handle: RePEc:eee:transb:v:122:y:2019:i:c:p:192-217
    DOI: 10.1016/j.trb.2019.02.009
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