基于Agent与模糊逻辑的车辆换道仿真模型

Simulation model of vehicle lane-changing based on agent and fuzzy logic

提出了基于Agent的多车道交通流协调控制系统的层次模型,该系统中各Agent之间的信息交流都是双向的.建立了车辆换道行驶、加速或减速等的模糊规则库.车辆的行为由一系列模糊规则来决定.在车辆的换道策略中使用Agent技术,可以克服传统模型中主要依靠车间距来决定换道,车辆之间没有相互作用的缺点.通过计算机仿真,验证了模型及规则的有效性.

A hierarchical model is proposed for coordinated control system of multi-lane traffic flow based on multi-agent, in which the communication among all agents is bi-directional. A base of fuzzy logic rules is constructed for vehicles＇ lane-changing, accelerated or decelerated motion. Vehicles＇ behavior is determined by a set of fuzzy rules. Using the agent technology, the strategy of lane-changing can overcome the disadvantages in traditional models that decisions of lane-changing depend on the gaps between vehicles and the communication among vehicles lacks. The effectiveness of the model and rules is illustrated by the computer simulation.