Dynamic scheduling strategy of shared vehicles based on time series

Liu Zhu; Wanting Zheng; Min Zhong

doi:10.1117/12.2614323

10 November 2021 Dynamic scheduling strategy of shared vehicles based on time series

Liu Zhu, Wanting Zheng, Min Zhong

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205011 (2021) https://doi.org/10.1117/12.2614323
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

In order to solve the imbalance of shared vehicle inventory and maximize the profit of shared vehicles, a dynamic scheduling model of shared vehicles based on time series is proposed in this paper. Taking the real data of a foreign region as an example, this paper first performs K-means clustering on the rental region, and then calculates the scheduling cost and time between different regions according to the distance between each region. Then a time series prediction model is established to predict the traffic flow in different regions and different periods. Finally, after comparing the predicted traffic in the pre-scheduling time period with the actual situation in the previous time period, the profit evaluation model is used to implement the scheduling instructions in the scheduling time period, and then scroll to the next time period to realize dynamic scheduling.

Citation Download Citation

Liu Zhu, Wanting Zheng, and Min Zhong "Dynamic scheduling strategy of shared vehicles based on time series", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205011 (10 November 2021); https://doi.org/10.1117/12.2614323

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