Simulation and Analysis of Urban Traffic Congestions by Using Cell Transmission Model

This paper explores the application of the cell transmission model in assessing and mitigating incident-related traffic congestion within urban traffic networks. The authors introduce an extended traffic control approach that leverages the cell transmission model to emulate and analyze urban traffic gridlock scenarios triggered by accidents. They have created a versatile traffic simulation tool grounded in the cell transmission model, compatible across different platforms, to effectively replicate the spread and alleviation of traffic congestion resulting from accidents. The study delves into the use of the cell transmission model to formulate strategies for dissipating traffic jams caused by accidents and evaluates the efficacy of these strategies. In sum, this research showcases the potential of the cell transmission model as a valuable instrument for orchestrating traffic flow within urban environments.