Research on Planning Methods for the Optimal Route of Intelligent Traffic Based on the Dynamic Programming Method
With the continuous congestion and complexity of urban traffic,traditional static route planning meth-ods cannot cope with dynamic traffic conditions,so there is a need to develop a method that can perform route planning based on real-time traffic data.In view of this,after the mathematical modeling of the traffic network,by obtaining and analyzing traffic information in real time,the study proposes a planning method for the optimal route of intelligent traffic in combination with the dynamic programming method and its dynamic programming equa-tion.Experimental results show that the shortest time of this method to reach optimal planning accuracy is 17.5 sec-onds,and the accuracy can be up to 92%at this time,and that the planning accuracy of intelligent vehicles is af-fected by the change of road resistance by at least 1%.After simulation comparison with the same type of planning methods,it is found that the method can provide more planning schemes for short routes,which is more suitable for the path planning of vehicles at this stage.It can be seen that the proposed method in the study is more superior and stable.The study aims to combine more intelligent transportation technologies to promote the development of the intelligent transportation system.
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