Abstract: In order that public can plan travel line before departure based on local traffic condition to short delay time and minimizing energy, this paper inmproved the evolutionary algorithm for Traveling Salesman Problem (TSP) based on artificial neural network，in which multi-intelligent computation algorithm is introduced to enhance the efficiency.And then a swarm intelligence analysis model was proposed to analyze the lines planning for public Traveling. The experimental results show that this method is simple and effective for calculating. It helps to overcome the blindness of choice to further expand in research direction of Computational Intelligence. And the results meet the needs of comprehensive travel information service for public.

Key words: Advanced traffic information service, Path planning, Neural networks, Hybrid intelligent computation,Swarm intelligence model