Parking Spaces Demand Forecasting Based on ARIMA Model
Author:
Affiliation:
1. School of Economic and Management, Xidian University, China
2. Xi'an Transportation Development Research Center, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3608251.3608293
Reference15 articles.
1. Analysis of the Effect of Demand-Driven Dynamic Parking Pricing on on-Street Parking Demand
2. Weijia Hong and Zhiyu You. 2022. Dynamic shared parking for private vehicles in central business districts. Wireless Networks. https://doi.org/10.1007/s11276-022-02923-z 10.1007/s11276-022-02923-z
3. Weijia Hong and Zhiyu You. 2022. Dynamic shared parking for private vehicles in central business districts. Wireless Networks. https://doi.org/10.1007/s11276-022-02923-z
4. Parking, energy consumption and air pollution
5. ARIMA modelling and forecasting of water level in the middle reach of the Yangtze River
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