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Hierarchical taxi dispatch system with local coordination among micro-level components: WIP abstract

Published:16 April 2019Publication History

ABSTRACT

Taxi drivers face to poor working conditions such as low wages and long working hours. To improve the conditions, a taxi dispatch system is very important. F. Miao et al. proposed a method for calculating an optimal taxi cruising path based on the model predictive control and the new parameter of supply demand ratio [1]. T. Ushio et al. proposed a method for calculating an optimal taxi cruising path based on a mixed logical dynamical model [2]. X. Chen et al. proposed a hierarchical taxi-dispatch system consisting of global and regional decision-makers [3]. The global decision-maker calculates the optimal taxi dispatch in a longer time period, while the regional ones determine schedules of taxis in the corresponding regions in a shorter time period. However, these previous mechanisms have lower scalability and real-time properties. To tackle these problems, we propose a novel hierarchical support system for a taxi dispatch system. In our proposal, a macro level component calculates the optimal taxi movement by using a taxi flow model, whereas micro level components determine the optimal taxi cruising in the corresponding regions. Both of them are conducted in the same time period.

References

  1. F. Miao, et al. "Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach". IEEE Transactions on Automation Science and Engineering, Vol. 13, No. 2, pp.463--465, April 2016.Google ScholarGoogle ScholarCross RefCross Ref
  2. T. Ushio, et al. "WIP Abstract: A Mixed Logical Dynamical System Model for Taxi Cruising Support System". In Proceedings of 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems, April 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. X. Chen, et al. "Hierarchical Data-Driven Vehicle Dispatch and ride-sharing". In Proceedings of 2017 IEEE 56th Annual Conference on Decision and Control, pp. 4458--4463, December 2017.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      ICCPS '19: Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems
      April 2019
      367 pages
      ISBN:9781450362856
      DOI:10.1145/3302509

      Copyright © 2019 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 April 2019

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      • extended-abstract

      Acceptance Rates

      Overall Acceptance Rate25of91submissions,27%

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