Analysis of Spatiotemporal Dependencies in Two-Dimensional Traffic Flow in Large-Scale Urban Area with Probe Vehicle Data

DOI Open Access
  • LYKOV Stanislav
    Graduate School of Science and Engineering, Department of Civil and Environmental Engineering, Tokyo Institute of Technology
  • SEO Toru
    Graduate School of Science and Engineering, Department of Civil and Environmental Engineering, Tokyo Institute of Technology
  • ASAKURA Yasu
    Graduate School of Science and Engineering, Department of Civil and Environmental Engineering, Tokyo Institute of Technology

Abstract

Understanding and description of traffic dynamics in large-scale networks is difficult and challenging procedure due to complexity of the network, limited amount of available information regarding vehicle movements and great number of different factors which affect traffic conditions. To deal with these issues, in current study large-scale urban areas is substituted by a continuous medium, and traffic flows are treated as two-dimensional flow on it. Spatiotemporal characteristics of this two-dimensional flow were investigated with the help of actual large-scale probe vehicle data. Specifically, probe vehicle data, sampled from the vehicles travelled in Tokyo area for one month period were used. After data preprocessing and transformation, spatiotemporal dependencies in the whole area, as well as in smaller regions were examined. The results showed distinct patterns according to different spatial locations, temporal intervals and local features, such as existence of highways or high degree of arterials roads. These results suggested the applicability of proposed approach in order to analyze and describe dependencies in two-dimensional traffic flow by means of probe vehicle data.

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Details

  • CRID
    1390282680267972352
  • NII Article ID
    130006726105
  • DOI
    10.11175/easts.12.1676
  • ISSN
    18811124
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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