Research On Vehicle Guidance System And Key Technology

Along with the economical development, the urbanized level enhancement, the transportation question day by day is also serious. Especially in some big cities, traffic congestion, the environmental pollution and so on, the questions which caused already becomes urgently awaited to be solved which restricts economy development. The study on the vehicles guidance system is an important research in the field of Intelligent Transportation System, which guide the behaviors of travelers by providing them with optimal route based on real-time traffic information. As the result the travel time can be saved and the traffic congestion can be avoid. The article studied on the framework and the key technology of the vehicles guidance system.The main working content as follows:1. Several kind representative vehicles guidance system in the domestic and foreign was introduced and the current study present situation was summarized. The working content, constitution and classification of the vehicles guidance system were discussed. Based on the analysis to each function module, conformed to the Chinese national condition vehicles guidance system framework was presented.2. The prediction of link travel time is one of the most important questions of the vehicles guidance system. The accuracy vehicles guide need the real-time prediction to link travel time, and the accuracy vehicles guide depend on the prediction accurately. Several kinds of prediction method was introduction and some study based on which was analyzed. Based on the data collected by the license auto-recognition system, an algorithm for predicting travel time is proposed. The algorithm makes the moving exponential average model as the foundation, depend on the history travel time data to predict the link travel time in future times. The method is proved to be sample and efficient by experiments and practical application.3. The route optimization is an essential function of the vehicles guidance system. As the time is changing, the travel time is also changing in traffic network. So shortest path search becomes considerably more difficult. Some traditional method for searching the shortest path was disabled in time-dependent networks. For solve the problems, many transportation systems can be represented by networks with travel times that are time-dependent. Based on the analyses to time-dependent networks and its theoretical foundations, a new shortest path algorithm is presented. The algorithm is proved to be correct and efficient by experiments and practical application. The shortest path algorithm in time-dependent networks has a broad application fields.