Real time traffic control under time varying incoming flow rates of vehicles to minimize waiting time of vehicles at a road intersection.

Abstract

This paper presents two real time non-linear programming models according to two special oversaturation conditions to minimize the aggregate delay time of vehicles and the number of vehicles at each lane by minimizing the total number of vehicles at the signalized intersection. These models are developed under time varying incoming flow rates of vehicles. The most important factor of traffic signal control is the number of vehicles in a queue at the lanes of intersection. The initial number of vehicles at each lane at the intersection is counted by a camera which is the most accurate method. The modelsare developed to minimize the number of vehicles from cycle to cycle. These proposed models include inter green signal time which is one of the key factors compared to other existing models proposed in the past research. These models also incorporate restrictions for upper bound for green signal time allocation which leads to accurate and appropriate allocation for green signal time. The lower bound of green signal time is attained by oversaturation conditions of the models. The proposed models are solved by the interior point algorithm method coded in MATLAB environment.