Intelligent Traffic System Path Planning Algorithm

Abstract

With the rapid development of economy and the continuous progress of science and technology, people’s material living standard has been significantly improved. The number of cars in China has exceeded 250 million. Along with it, the construction structure of road traffic network becomes more and more complicated, road congestion becomes more and more serious, and safety accidents occur frequently. The root cause is that related traffic facilities have been unable to keep up with the pace of vehicle growth year by year. In this context, the purpose of this paper is to propose a traffic path planning algorithm that can optimize urban traffic and reduce congestion and safety accidents, so as to achieve reasonable distribution of traffic flow. In terms of research methods, this paper uses ant colony algorithm, and fit in the latest traffic information and technology, realized in the road traffic network planning out a optimal path from start to finish, make in the process of route planning, combine the search speed and precision, so as to reduce the purpose of residence time on the road. The simulation results show that the ant colony algorithm can effectively obtain the optimal path, and for different departure times, the estimated travel time obtained by planning is also different, and can effectively improve the overall operating efficiency of the system.