Development and application of multi-scale urban traffic flow models based on different spatial and temporal characteristics

Yongkai Liang; Yu Liu; Jingyuan Li; Hanzhengnan Yu; Xiaopan An; Kunqi Ma; Hang Xu; Xi Hu; Hao Zhang

doi:10.1117/12.2674927

2 May 2023 Development and application of multi-scale urban traffic flow models based on different spatial and temporal characteristics

Yongkai Liang, Yu Liu, Jingyuan Li, Hanzhengnan Yu, Xiaopan An, Kunqi Ma, Hang Xu, Xi Hu, Hao Zhang

Author Affiliations +

Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 1264210 (2023) https://doi.org/10.1117/12.2674927
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China

Abstract

Traffic flow prediction can provide data support for urban traffic planning, vehicle running conditions, and other fields. Based on the urban survey data, a multi-scale traffic flow model is proposed, and the characteristics of the traffic flow in Xi'an are analyzed. The results show that the relative error of the proposed multi-scale traffic flow model is less than 15% when predicting the traffic flow of the whole urban road network.

Citation Download Citation

Yongkai Liang, Yu Liu, Jingyuan Li, Hanzhengnan Yu, Xiaopan An, Kunqi Ma, Hang Xu, Xi Hu, and Hao Zhang "Development and application of multi-scale urban traffic flow models based on different spatial and temporal characteristics", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 1264210 (2 May 2023); https://doi.org/10.1117/12.2674927

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