基于动态规划方法的智能交通最优路线规划方法研究

Research on Planning Methods for the Optimal Route of Intelligent Traffic Based on the Dynamic Programming Method

随着城市交通的不断拥堵和复杂化,传统的静态路线规划方法无法应对动态的交通状况,因此需要开发一种能够根据实时交通数据进行路径规划的方法。鉴于此,研究在对交通路网进行数学建模后,通过实时获取和分析交通信息,并结合动态规划法及其动态规划方程后提出了一种智能交通最优路线规划方法。实验结果表明:该方法达到最优规划精度的最短时间为17.5 s,此时精度最高可达92%。同时,智能车辆规划精度受路阻变化的影响最低为1%。与同类型的规划方法进行仿真对比后发现,该方法能够提供更多短线路规划方案,更适合于现阶段的车辆路径规划。由此可知,研究所提方法更具优越性和稳定性。研究旨在结合更多智能交通技术,以推动智能交通系统的发展。

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.