Huiyu Jia*, Zicheng Wang, Xiaojun Wang, Chunxia Yang
School of Vehicle and Transportation Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China.
*Corresponding author: Huiyu Jia
Abstract
Studying the congestion condition of urban road networks is crucial for effective traffic management. To assess congestion levels, a fuzzy evaluation model is developed, integrating the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation theory. This model offers a structured approach, considering congestion from micro, meso, and macro perspectives. Using the AHP, a three-tiered evaluation index system is formulated, encompassing various congestion factors. A fuzzy consistency discriminant matrix is then used to determine the weights of these factors, establishing thresholds for congestion evaluation intervals. The congestion evaluation set is categorized into five grades: Smooth Traffic, Basically Smooth Traffic, Light Congestion, Moderate Congestion, and Heavy Congestion. To demonstrate the model's effectiveness, congestion data from 14 traffic districts in a specific area of Taiyuan City in 2023 are analyzed. The results confirm the feasibility and accuracy of the model, providing a valuable tool for traffic planners and policymakers. This approach enables informed decisions on infrastructure investments, traffic control strategies, and urban development, ultimately leading to more efficient and sustainable urban road networks.
References
[1] Guan Xin, et al. "Virtual subjective and objective evaluation method of traffic jam assist". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 237.23(2023):481-492.
[2] Jin, J.L., Y.M. Wei, J. Ding, Fuzzy comprehensive evaluation model based on improved analytic hierarchy process. Journal of Hydraulic Engineering, 2004(2): p. 144-147.
[3] Qiaoru Li, et al. Study on the influence of subjective well-being on travel mode selection. Physics Letters A, (2020), 384(34).
[4] Xu, Y., L. Wang. Fuzzy Comprehensive Evaluation Model based on Rough Set Theory. In IEEE International Conference on Cognitive Informatics. 2006.
[5] Zheng Zhenjie, et al. "Exploring the spatial effects on the level of congestion caused by traffic accidents in urban road networks: A case study of Beijing". Travel Behaviour and Society, 35(2024):100728.
[6] Guan Xin, et al. "Virtual subjective and objective evaluation method of traffic jam assist". Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 237.23(2023):481-492.
[7] Toan Trinh Dinh, Wong Y.D. Fuzzy logic-based methodology for quantification of traffic congestion [J]. Physica A: Statistical Mechanics and its Applications, 2021, 570.
[8] Zhang Kenan, Nie Yu (Marco). Mitigating traffic congestion induced by transportation network companies: A policy analysis [J]. Transportation Research Part A, 2022, 159: 96-118.
How to cite this paper
Evaluation Modeling of Regional Traffic Congestion Based on Fuzzy AHP
How to cite this paper: Huiyu Jia, Zicheng Wang, Xiaojun Wang, Chunxia Yang. (2024). Evaluation Modeling of Regional Traffic Congestion Based on Fuzzy AHP. Engineering Advances, 4(2), 102-108.
DOI: https://dx.doi.org/10.26855/ea.2024.04.005