中文摘要：

研究高速公路收费站通行率问题。由于目前高速公路收费站收费时间长，易造成收费站拥堵。传统的人工半自动收费方式（MTC）受停车服务时间限制，难以提高高速公路收费站通行率，易造成收费延误。为提高高速公路收费站通行率，提出一种采用混合式高速公路收费站的动态调节策略。首先应用多智能体（Multi—Agent）技术建立了混合式高速公路收费站微观仿真模型，然后在多智能体的仿真平台上进行了交通仿真，仿真结果表明，在不同的交通状况下，根据交通流量的大小采用相应的动态调节策略，可缩短收费站平均排队长度和提高车辆通行率，极大地优化了收费站的服务时间，改善收费站的服务质量。

英文摘要：

The paper proposed a dynamic adjustment strategy based on the hybrid expressway toll station. First, a microscopic simulation model of the hybrid expressway toll station was established, and traffic simulation was built on the simulation platform based on Multi-Agent technology. The results indicate that the corresponding dynamic adjust- ment strategies based on the size of the traffic flow in different traffic conditions can curtail the average queue length and improve vehicle passage rate, optimize the service time and enhance the quality of service of expressway toll station.