
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
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.
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