中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): An Efficient Dispatch and Decision-making Model for Taxi-booking Service
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An Efficient Dispatch and Decision-making Model for Taxi-booking Service
Cheng Qiao; MingMing Lu; Yong Zhang; Ken Brown
2015
Conference Name12th IEEE International Conference on Advanced and Trusted Computing(ATC 2015)
Conference PlaceBeijing, China
AbstractThe taxi-booking service has recently gained a high attraction due to it’s efficiency and convenience. However, current booking service shows a low success rate for the uncooperative behavior of passengers and drivers. This paper investigates an efficient dispatch and decision making model for the taxi-booking service. To optimize utility of taxi drivers and passengers, we use evolutionary game theory to analyze their behaviors. GPS trajectory data from Transport Commission of Shenzhen Municipality is used to evaluate the performance of proposed system. Result shows that our model could reduce locating time as much as 46%, which will in turn lower passengers’ waiting time. With our game model, we could increase at least 18% of driver profit. Compared with the o_-line mining and online recommendation method(OMOM), our method could improve the gain of drivers during non-rush hours.
Department高性能计算技术研究中心
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.siat.ac.cn/handle/172644/6972
Collection数字所
Affiliation2015
Recommended Citation
GB/T 7714
Cheng Qiao,MingMing Lu,Yong Zhang,et al. An Efficient Dispatch and Decision-making Model for Taxi-booking Service[C],2015.
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