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.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10689 LNCS, pp. 31–40). Springer Verlag. https://doi.org/10.1007/978-3-319-72329-7_4
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