Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data

Desheng Zhang; Juanjuan Zhao; Fan Zhang; Ruobing Jiang; Tian He

doi:10.1145/2737095.2737121

Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data

Desheng Zhang, Juanjuan Zhao, Fan Zhang, Ruobing Jiang, Tian He

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

22 Scopus citations

Abstract

In this paper, we propose a transit service Feeder to tackle the last-mile problem, i.e., passengers' destinations lay beyond a walking distance from a public transit station. Feeder utilizes ridesharing-based vehicles (e.g., minibus) to deliver passengers from existing transit stations to selected stops closer to their destinations. We infer real-time passenger demand (e.g., exiting stations and times) for Feeder design by utilizing extreme-scale urban infrastructures, which consist of 10 million cellphones, 27 thousand vehicles, and 17 thousand smartcard readers for 16 million smartcards in a Chinese city Shenzhen. Regarding these numerous devices as pervasive sensors, we mine both online and offline data for a two-end Feeder service: a back-end Feeder server to calculate service schedules; front-end customized Feeder devices in vehicles for real-time schedule downloading. The evaluation results show that compared to the ground truth, Feeder reduces last-mile distances by 68% and travel time by 52% on average.

Original language	English (US)
Title of host publication	IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
Publisher	Association for Computing Machinery, Inc
Pages	226-237
Number of pages	12
ISBN (Electronic)	9781450334754
DOIs	https://doi.org/10.1145/2737095.2737121
State	Published - Apr 13 2015
Event	14th International Symposium on Information Processing in Sensor Networks, IPSN 2015 - Seattle, United States Duration: Apr 13 2015 → Apr 16 2015

Publication series

Name	IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)

Other

Other	14th International Symposium on Information Processing in Sensor Networks, IPSN 2015
Country/Territory	United States
City	Seattle
Period	4/13/15 → 4/16/15

Bibliographical note

Funding Information:
The authors thank our shepherds and Dr. Ling Yin in SIAT for the data support. This work was supported in part by US NSF Grant CNS-1239226, NSFC Grant U1401258, and China 973 Program 2015CB352400.

Keywords

Last-mile transit
Urban infrastructure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1145/2737095.2737121

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Full text

Cite this

Zhang, D., Zhao, J., Zhang, F., Jiang, R., & He, T. (2015). Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data. In IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week) (pp. 226-237). (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)). Association for Computing Machinery, Inc. https://doi.org/10.1145/2737095.2737121

Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data. / Zhang, Desheng; Zhao, Juanjuan; Zhang, Fan et al.
IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). Association for Computing Machinery, Inc, 2015. p. 226-237 (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, D, Zhao, J, Zhang, F, Jiang, R & He, T 2015, Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data. in IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week), Association for Computing Machinery, Inc, pp. 226-237, 14th International Symposium on Information Processing in Sensor Networks, IPSN 2015, Seattle, United States, 4/13/15. https://doi.org/10.1145/2737095.2737121

Zhang D, Zhao J, Zhang F, Jiang R, He T. Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data. In IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). Association for Computing Machinery, Inc. 2015. p. 226-237. (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)). doi: 10.1145/2737095.2737121

Zhang, Desheng ; Zhao, Juanjuan ; Zhang, Fan et al. / Feeder : Supporting last-mile transit with extreme-scale urban infrastructure data. IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). Association for Computing Machinery, Inc, 2015. pp. 226-237 (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)).

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Feeder: Supporting last-mile transit with extreme-scale urban infrastructure data

Abstract

Publication series

Other

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

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