高速公路入口匝道模糊控制及其仿真研究(英文)

Fuzzy Ramp Control in Freeway and Simulation Research

提出一种模糊逻辑方法控制高峰期间进入高速公路的车辆数目。分析了模糊逻辑控制器的基本结构,阐述了模糊控制算法,给出了隶属度函数,根据高速公路上游、下游及入口匝道上安装的传感器检测到的流量、速度、占有率、匝道排队长度等信息,设计了入口匝道模糊逻辑控制器,并用计算机对控制器进行了仿真,仿真结果表明该方法切实可行、具有实用价值,它能避免高速公路主线交通拥挤和堵塞,提高主线的通行能力,实现车辆在高速公路上高效、安全的运行。

A fuzzy logic approach was proposed to regulate the number of vehicles entering a freeway entrance point during rush traffic times. The basic structure of a fuzzy logic controller was analyzed and the fuzzy control algorithm was formulated. The membership functions were developed and the fuzzy logic on-ramp controller was designed based on such traffic information as the flow, speed, occupancy, and ramp queue length. These variables were each measured by several sensors built into the upstream, downstream, and on-ramp portion of the freeway. Simulation research was carried out by taking full advantage of a computer. Simulation results show that such an approach is practical and effective. It can avoid traffic jams and congestion on the mainline, improve the passing capability, and make the vehicles travel more efficiently and safely.