Simulation of urban intelligent transportation network based on automata

Jian Mao; Hexiang Qian; Haochuan Zhang

doi:10.1117/12.3010289

20 October 2023 Simulation of urban intelligent transportation network based on automata

Jian Mao, Hexiang Qian, Haochuan Zhang

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128141V (2023) https://doi.org/10.1117/12.3010289
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

The Cellular automata was used to study the complex system of urban transportation network, and the BML model based automata model was modified to accommodate the basic traffic element of road segments in the model. We modeled and simulated traffic factors such as road section distribution and changes in road section length. The model proposed in this paper distinguishes road sections and intersections, and the study finds that low-density traffic flow and high-density traffic flow are distinguished significantly, which conforms to the characteristics of Second order phase transition and the real situation of urban traffic network.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jian Mao, Hexiang Qian, and Haochuan Zhang "Simulation of urban intelligent transportation network based on automata", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128141V (20 October 2023); https://doi.org/10.1117/12.3010289

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