Maximazation Capacity of Signalized Intersection with Mathematic Programming by Timming and Geometric Variable Case Study: Jalal-Al-Ahmad, Aryanfar Intersection

In the current research, a new approach has been used to optimize the performance of the intersection. The combination of time variables and geometric is enhanced optimization of intersection capacity. Traffic lanes and traffic light settings are considered as decision variables, and the limitation of short lines is also included in the modeling. short are very common and can be seen in many intersections. Intersection capacity and performance have a very significant positive and negative relationship with the variables of short lines. In the present research, with three new approaches: 1- Considering the geometrical variables of the intersection along with the timing and phasing variables of the lights; 2- Considering the short line and its effect; 3- Using mixed integer programming, zero-one as methodology; The capacity of the intersection of Jalal Al-Ahmad highway and Arianfar Boulevard was maximized and the efficiency of the intersection increased by about fourteen percent. In order to validate the model and check the behavior of the intersection, the model was simulated in Synchro software, and the capacity, travel time and delay of the intersection were estimated.