Research Of Urban Traffic Path Planning System For Different User Groups

With the rapid development of economy,the urban transportation network becomes more complex,urban residents have more travel mode,their travel decisions are affected by multiple factors.Different factors affect the choice of passenger travel,and some factors even directly determine the choice of the way of travel.The factors that affect the choice of passenger travel mode mainly include the total length of the trip,the total amount of the trip,the number of transfer,walking distance,weather factors and so on.According to the tendency of passenger travel,passengers are divided into three types of user groups,namely time first and the least cost and comfort degree of priority,the decisive factor is the comfort of crowding,weather condition,walking distance,transfer time,transfer time,transfer to the environment.This paper mainly solves the problem of the optimal path planning for these three kinds of user groups.In this paper,Dijkstra optimal path algorithm and fuzzy mathematical model to optimize the route planning algorithm,and then to achieve Urban Traffic Path Planning System for Different User Groups System using EE Spring,Java,Strust,Hibernate,Mysql and Python and other technologies,mainly to achieve the travel path planning,travel route collection,traffic line data management,user management and other functional modules.For the path planning module in the comfort of priority path query,the paper achieved a comfortable degree of single element query and comfortable degree of integrated query algorithm,and with the aid of Map API Baidu and JS to achieve the route visualization.For different user groups of urban transportation planning system can not only facilitate the residents travel,effectively improve the efficiency of urban traffic.