Last-Mile Transit Service with Urban Infrastructure Data
文献类型：会议论文
| 作者 | Desheng Zhang; Juanjuan Zhao; Fan Zhang; Ruobing Jiang; Tian He |
| 出版日期 | 2016 |
| 会议名称 | ACM TCPS 2016 |
| 英文摘要 | 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. We implement Feeder using a fleet of vehicles with customized hardware in a subway station of Shenzhen by collecting data for 30 days. The evaluation results show that compared to the ground truth, Feeder reduces last-mile distances by 68% and travel time by 56% on average. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10319]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Desheng Zhang,Juanjuan Zhao,Fan Zhang,et al. Last-Mile Transit Service with Urban Infrastructure Data[C]. 见:ACM TCPS 2016. |
入库方式： OAI收割
来源：深圳先进技术研究院
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