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	When Taxi Meets Bus: Night Bus Stop Planning over Large-scale Traffic Data
	Luyan Xiao; Xiaopeng Fan; Haixia Mao; Chengzhong Xu; Ping Lu; Shengmei Luo
	2016
会议名称	CCBD 2016
会议地点	澳门
英文摘要	Abstract—With more and more citizens traveling for life or work at night, there is a big gap between the demands and supplies for public transportation service in China. In this paper, we address the problem of night-bus stop planning by investigating the characteristics of taxi GPS trajectories and transactions, rather than leveraging subjective and costly surveys about citizen mobility patterns. There are two stages in our method. In the first stage, we extract the Pick-up and Drop-off Records (PDRs) from the taxi GPS trajectories and transactions for capturing citizens travel patterns at night. In the second stage, we propose DC-DBSCAN, an improved DBSCAN clustering algorithm by considering the Distance Constraint, to detect hot locations as candidate night-bus stops from the PDRs dataset. We take the service range of a bus stop into consideration, and optimize the candidates by considering the cost and convenience factors. Finally, our experiments demonstrate that our method is valid and with better performance than that of K-means.
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/172644/10336]
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	Luyan Xiao,Xiaopeng Fan,Haixia Mao,et al. When Taxi Meets Bus: Night Bus Stop Planning over Large-scale Traffic Data[C]. 见:CCBD 2016. 澳门.

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