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

LYKOV Stanislav, SEO Toru, ASAKURA Yasu

doi:10.11175/easts.12.1676

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.

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

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

説明

収録刊行物

関連プロジェクト

キーワード

詳細情報 詳細情報について

書き出し

問題の指摘

詳細情報詳細情報について