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Collaborative Computing: Networking, Applications and Worksharing. 17th EAI International Conference, CollaborateCom 2021, Virtual Event, October 16-18, 2021, Proceedings, Part I

Research Article

A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning

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  • @INPROCEEDINGS{10.1007/978-3-030-92635-9_30,
        author={Liangyao Tang and Peng Chen and Ruilong Yang and Yunni Xia and Ning Jiang and Yin Li and Hong Xie},
        title={A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 17th EAI International Conference, CollaborateCom 2021, Virtual Event, October 16-18, 2021, Proceedings, Part I},
        proceedings_a={COLLABORATECOM},
        year={2022},
        month={1},
        keywords={Taxi GPS traces Bus routes planning Bus network planning},
        doi={10.1007/978-3-030-92635-9_30}
    }
    
  • Liangyao Tang
    Peng Chen
    Ruilong Yang
    Yunni Xia
    Ning Jiang
    Yin Li
    Hong Xie
    Year: 2022
    A Novel Approach to Taxi-GPS-Trace-Aware Bus Network Planning
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-92635-9_30
Liangyao Tang1, Peng Chen2, Ruilong Yang1, Yunni Xia1, Ning Jiang3, Yin Li4, Hong Xie1
  • 1: School of Computers, Chongqing University
  • 2: School of Computer and Software Engineering, Xihua University
  • 3: Mashang Consumer Finance Co., Ltd. (MSCF)
  • 4: Institute of Software Application Technology, Guangzhou and Chinese Academy of Sciences

Abstract

Taxi GPS traces are rich with information regarding the human mobility pattern in metropolitans. In this paper, we aimed at fully exploiting the Taxi GPS traces and addressing the bus network planning problem. Specifically, the proposed framework comprises a method for determining candidate bus stations by utilizing passenger pick-up and drop-off records, a bio-inspired method for yielding bus routes and further for generating the final bus network. To prove the effectiveness of our framework, we conduct simulative studies as well based on a real-world taxi GPS data-set and show that our proposed framework considerably outperforms traditional ones.

Keywords
Taxi GPS traces Bus routes planning Bus network planning
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-92635-9_30
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