Developing Optimal Cycle Length Model Based on VISSIM Simulation Data with GP Algorithm-A Criticism on Simulation

Iranian cities are considered to be among the densest cities in the world. Population density and public transportation with poor performance, and the lack of pressures such as the cheapness of gasoline and regular taxis have caused many intersections in Iranian cities to operate under saturated and supersaturated conditions during peak traffic hours. The optimal cycle length can significantly reduce or even prevent traffic congestion. This study estimates the optimal cycle length with the objective of minimizing the intersection delay. For this purpose, different scenarios were simulated by changing the saturation rate (DS), cycle length (CL) and line capacity variables in VISSIM software, and the delay value was obtained for different cycle lengths.