Real time traffic control to optimize waiting time of vehicles at road arterial networks

Abstract

This paper presents a real time nonlinear quadratic programming model to minimize the aggregate delay time of vehicles at each intersection by minimizing the total number of vehicles at each intersection at the signalized two intersections arterial. This can be extended to more than two intersections arterial network by expanding the groups which is explained in this paper. The most important efficiency and simply getting factor of traffic signal control is the number of vehicles in a queue at the lanes of intersections. The initial number of vehicles at each lane at the intersections is counted by a camera which is the most exact method among other existing methods.The model is developed to minimize the number of waiting vehicles from cycle to cycle. This proposed model includes inter green signal time which is one of the main aspect compared to other existing models proposed in the former research. This model also includes restrictions for upper bound for green signal time and cycle time allocation which leads to exact and appropriate allocation for green signal time. Non- zero and positive queue lengths at lanes are maintained under special condition for oversaturation case. The proposed model is solved by the method of sequential quadratic programming coded in MATLAB environment.