QQ客服 官方微博 反馈留言

	Feeder:Supporting Last-Mile Transit with Extreme-Scale Urban Infrastructure Data
	Desheng Zhang; Juanjuan Zhao; Fan Zhang; Ruobing Jiang; Tian He
	2015
会议名称	IPSN '15 Proceedings of the 14th International Conference on Information Processing in Sensor Networks
会议地点	Seattle, WA, USA
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. The evaluation results show that compared to the ground truth, Feeder reduces last-mile distances by 68% and travel time by 52% on average.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6995]
专题	深圳先进技术研究院_数字所
作者单位	2015
推荐引用方式 GB/T 7714	Desheng Zhang,Juanjuan Zhao,Fan Zhang,et al. Feeder:Supporting Last-Mile Transit with Extreme-Scale Urban Infrastructure Data[C]. 见:IPSN '15 Proceedings of the 14th International Conference on Information Processing in Sensor Networks. Seattle, WA, USA.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。