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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 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 languageEnglish (US)
Title of host publicationIPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)
PublisherAssociation for Computing Machinery, Inc
Pages226-237
Number of pages12
ISBN (Electronic)9781450334754
DOIs
StatePublished - Apr 13 2015
Event14th International Symposium on Information Processing in Sensor Networks, IPSN 2015 - Seattle, United States
Duration: Apr 13 2015Apr 16 2015

Publication series

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

Other

Other14th International Symposium on Information Processing in Sensor Networks, IPSN 2015
CountryUnited States
CitySeattle
Period4/13/154/16/15

Keywords

  • Last-mile transit
  • Urban infrastructure

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    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