OPTIMUM ROUTING OF SHARING VEHICLES FOR GIVEN ACTIVITY PATTERNS

DOI Web Site 4 Citations 5 References
  • AIKO Satomi
    東京工業大学　環境・社会理工学院　土木・環境工学系　土木工学コース
  • THAITHATKUL Phathinan
    東京工業大学　大学院理工学研究科　土木工学専攻
  • SEO Toru
    東京工業大学　環境・社会理工学院
  • ASAKURA Yasuo
    東京工業大学　環境・社会理工学院

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Other Title
  • アクティビティパターンを与件としたシェアリング車両の最適割り当て問題

Description

“Sharing economy”, including car-sharing and ride-sharing, and autonomous driving will change our society and transport in the near future. To effectively introduce ride-share-based transport service into a society, we need to estimate the required number of vehicles and determine route and schedule of vehicles, based on travelers' activity. We also need to understand how spatial and temporal characteristics of travelers' activity patterns affect the performance of this sharing service. Previous studies have tried to estimate benefit to introduce ride-share transport. According to the related papers, the objective of this service is generally to minimize the total travel time of vehicles, but it may prevent travelers to carry out their activities as they planned.<br>The objective of this study is to investigate features of society that ride-share transport would be successfully operated in the above context. The optimal vehicle routing and scheduling problem which satisfies all the travelers' activities is formulated as an integer linear programming problem. By using the proposed model, numerical experiments to find optimal vehicle routings are conducted with different types of activity patterns. The results show spatial and temporal distribution of travelers' activity patterns that ride-share transport service achieves positive impact.

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