Abstract
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.
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Acknowledgement
This work is supported by the National Science and Technology Major Project of China under Grant No. 2016ZX03001025-003 and Special found for Beijing Common Construction Project.
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Wang, X., Liu, Z., Jia, Y. (2017). A Rush-Hour Vehicles Scheduling Strategy in Online Car-Sharing System Based on Urban Trajectory Data Analysis. In: Peng, SL., Lee, GL., Klette, R., Hsu, CH. (eds) Internet of Vehicles. Technologies and Services for Smart Cities. IOV 2017. Lecture Notes in Computer Science(), vol 10689. Springer, Cham. https://doi.org/10.1007/978-3-319-72329-7_4
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DOI: https://doi.org/10.1007/978-3-319-72329-7_4
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