基于城区干线及周边区域的交通控制优化问题,提出基于Q学习的城区干线区域交通控制优化模型及算法,分析城区干线区域交通控制问题,考虑设计者的交通控制策略,构建城区干线区域交通控制模型;基于Q学习理论,提出面向城区干线区域交通控制的优化算法和步骤;以长沙城区干线区域交通控制为背景进行了仿真验证,仿真结果表明:本模型能够有效提高城区干线的通行效率,有效减少干线上的交通延误和停车率。
According to the traffic control optimization problem of urban trunk line and the surrounding area,the optimization model and algorithm of main city area traffic control based on Q-algorithm is put forward. First of all,the traffic control issue of urban artery line was analyzed,and the corresponding control model was established by taking the designer's traffic control strategy into account. Then the main city area traffic control oriented optimization algorithm and steps were presented based on the Q-algorithm theory. Finally,traffic control simulation verification was carried out at the background of Changsha city main area. The simulation results show that this model can effectively improve the efficiency of urban arterial traffic,reduce traffic delays on the main line and stop rate of vehicles,which has strong practical significance.