A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis

被引：0
|
作者：
Wang, Xintong [1 ]
Liu, Zhihan [1 ]
Jia, Yi [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China
来源：
INTERNET OF VEHICLES: TECHNOLOGIES AND SERVICES FOR SMART CITIES, IOV 2017 | 2017年 / 10689卷
关键词：
Car sharing; Vehicles scheduling; Rush hour; Urban trajectory data analysis; Holt-Winters model; WAY CARSHARING SYSTEMS; RELOCATION; LOCATION;
D O I：
10.1007/978-3-319-72329-7_4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The birth of car sharing has effectively eased people's travel pressure. However, there still exists a condition that people can not find a taxi while some cars are empty at rush hour. Therefore, the optimization of vehicle scheduling is an urgent problem. This paper researches on the rush-hour vehicles scheduling problem in the online car-sharing system. The Holt-Winters model is used to analyze the urban trajectory data and estimate the user demand for vehicles. Then according to calculating the historical scheduling results, the vehicles scheduling scheme is proposed. Finally, data set of GreenGo is used to verify the effectiveness of vehicles scheduling strategy that promotes the operator's profit.
引用
收藏
页码：31 / 40
页数：10
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