超多车道高速公路左侧硬路肩动态管控方法OA

To address the complex traffic control requirements of super-multilane expressways and mitigate the mismatch between insufficient road capacity and growing traffic demand,this study achieves road space resource optimization and traffic resilience enhancement through dynamic regulation of the left hard shoulder.Taking the Guangzhou-Shenzhen Expressway reconstruction and expansion project under Guangdong Province's"One Axis,Two Networks"digital transformation initiative as the research object,this study proposes a novel dynamic control method for the left hard shoulder based on the Proximal Policy Optimization(PPO)algorithm,with a comparative analysis against the Genetic Algorithm(GA).Using the SUMO simulation platform to simulate accident scenarios under different levels of service,the strategy's effectiveness is evaluated from the perspectives of safety and efficiency.The results show that under service levels one to four,dynamically opening the left hard shoulder based on the PPO algorithm under incident conditions(compared with not opening it)can reduce total travel time by 28.8%,32.2%,31.3%,and 19.5%,respectively,and decrease the mean speed standard deviation by 25.3%,28.1%,33.6%,and 28.9%,respectively.This significantly improves traffic system efficiency and driving safety,and the PPO algorithm outperforms the traditional genetic algorithm,providing a new method for refined management and traffic flow resilience enhancement on super-multilane expressways.