Abstract: This study simulates the correlation between traffic flow changes and incident handling times in a long tunnel, aiming to identify strategies to alleviate congestion. Using Aimsun simulation software, various traffic scenarios are modeled to evaluate congestion through indicators such as flow, total travel time, delay time, speed, mean queue, and density. The focus of the study is to observe changes in traffic flow and speed in tunnels during traffic accidents in order to establish parameters for determining road traffic congestion. Simulation results show that changes in these parameters during event processing can effectively indicate the degree of traffic congestion.
Yi-Sheng Huang, Yi-Shun Weng, Shi-Xiong Dong, Wei-Chih Wang, "Analyzing Traffic Flow Changes and Incident Management in Long Highway Tunnels using Aimsun Simulation," WSEAS Transactions on Business and Economics, vol. 21, pp. 2116-2123, 2024, DOI:10.37394/23207.2024.21.174
Yi-Sheng Huang, Yi-Shun Weng, Shi-Xiong Dong, Wei-Chih Wang. Analyzing Traffic Flow Changes and Incident Management in Long Highway Tunnels using Aimsun Simulation.
WSEAS Transactions on Business and Economics. 2024;21:2116-2123. 10.37394/23207.2024.21.174