Shared parking choice behavior based on machine learning algorithm

Xue Han

doi:10.1117/12.2637024

8 May 2022 Shared parking choice behavior based on machine learning algorithm

Xue Han

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 122491K (2022) https://doi.org/10.1117/12.2637024
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

Shared parking, which can make full use of the free time of private or non-private parking slots, has become an effective way to ease the pressure of urban parking. Under the condition of shared parking, the traditional parking generation rate model can no longer accurately predict the demand of urban parking slots. Therefore, this paper analyzes and studies the parking choice behavior of residents in the sharing mode, and uses machine learning algorithms such as XGBoost and decision tree to predict the demand for parking shared parking spaces.

Citation Download Citation

Xue Han "Shared parking choice behavior based on machine learning algorithm", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 122491K (8 May 2022); https://doi.org/10.1117/12.2637024

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