Optimisation of traffic congestion model based on improved RIME

Zhijian Wang; Biyu Rao; Jiuzeng Wang

doi:10.1117/12.3054752

20 December 2024 Optimisation of traffic congestion model based on improved RIME

Zhijian Wang, Biyu Rao, Jiuzeng Wang

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 1342141 (2024) https://doi.org/10.1117/12.3054752
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

With the continuous growth of the number of motor vehicles, traffic congestion on urban roads, especially at intersections, is becoming more and more serious and shows obvious propagation effects. It is of great significance to study the law and scope of congestion propagation at intersections for effective traffic management. Based on floating vehicle trajectory data, this paper comprehensively analyses the network characteristics and traffic characteristics to comprehensively assess the intersection access efficiency, and adopts the fuzzy K-mean clustering method to grade the intersection efficiency, in order to explore the differences between different grades of intersections in terms of congestion propagation speed. Further, an infectious disease model is introduced in this paper to construct a congestion propagation model optimised based on Adaptive weights rime algorithm (AWRIME), which improves the simulation accuracy of congestion propagation in traffic networks. The results show that the proposed model is superior in both accuracy and adaptability of congestion propagation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhijian Wang, Biyu Rao, and Jiuzeng Wang "Optimisation of traffic congestion model based on improved RIME", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 1342141 (20 December 2024); https://doi.org/10.1117/12.3054752

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