Study On The Optimization Of Traffic Control Coordinated With Traffic Guidance For The Urban Road

The urban traffic jam problem is one of the important problems facing the world today. There are many measures to solve traffic jam, such as new roads, widening of roads, etc.. These measures eased the traffic jam problem to some extent, but they all don't resolve this problem thoroughly. Traffic control coordinated with traffic guidance is a fundamental means to solve traffic jam problems.Traffic control is to control vehicles which already happened and will pass crossroad, the result is to change the time of the different direction vehicles passing the crossroad, so that in time distribution the network flow will change in order to maximize the current road traffic capacity. Its main role is to control through laws and use of traffic signals so that vehicles in an orderly manner away from conflict zones, it is a compulsory means to solve traffic jam. Urban traffic flow on the road has great randomness and strong uncertainty, it is not very satisfactory to use the traffic control to solve the traffic jam problem only. Traffic guidance attempt to avoid future traffic jam or ease traffic jam, directly adjusts the traffic flow that to be adopted in the spatial distribution. Traffic control and traffic guidance can learn from each other, give full play to their strengths, also can play its collaboration features. It has great role to solve traffic jam problems. Traffic control coordinated with traffic guidance is the main development direction of ITS.This paper presents a new model of traffic control coordinated with traffic guidance. The model has two sub-models, model One reflects the thought of traffic jam dissipation and balanced road network flow, its goal is to balance network saturation and minimize the variance of saturation. The goal of model Two is system optimization or minimizing total travel time. It uses genetic algorithms and fmincon function to solve the model.At last, it uses a simple road network to test the validity of models and algorithms, comparatively analyzed the results of two methods. It provides some theoretical support for the implementation of urban road traffic control coordinated with traffic guidance.