Integrated Traffic Congestion Control Strategies Using Cell Transmission Model and Advanced Mathematical Modelling Techniques

This paper aims to explore integrated traffic congestion control strategies through the application of the Cell Transmission Model (CTM) and advanced mathematical modelling techniques. By leveraging these methods., we seek to develop robust solutions for mitigating traffic congestion in urban road networks. The study focuses on the formulation., implementation., and validation of control strategies., incorporating real-time traffic data and simulation models. CTMs are a cost-efficient approach for testing transportation-related solutions and are especially useful for analyzing urban traffic congestion., thanks to their mathematical framework. However., when the CTM is employed in a two-way grid traffic network., the entire road can become congested due to issues in left/right turning lanes caused by the vehicle capacity of their downstream cells. These calculated results often do not correspond to actual road traffic conditions. Therefore., modifications to the number of downstream cells and the vehicle capacity in the CTM are necessary. This study investigates the calibration and validation of CTMs in control strategies aimed at mitigating traffic jams caused by accidents., and assesses the effectiveness of these strategies. This paper contributes to the field by providing a comprehensive approach to traffic congestion control., leveraging both theoretical and practical aspects of traffic management.