基于元胞自动机的交通流状态研究

Research on Traffic Flow State Based on Cellular Automata

为方便交通部门能够更直接地掌握道路交通流状态,对交通流进行管理、调节和诱导,从而提高路网交通效率,本文主要围绕交通流状态统计、交通流状态仿真和不同交通状态的决策方案三个方面进行研究。研究基于物理公式和格林希尔治模型理论构建交通流流量与车辆平均速度的基础模型,根据不同道路的最大流量判断道路交通状态;利用matlab将道路简化为元胞自动机的运动过程进行分析;并根据交通流状态分析结果提出合理的决策方案。

In order to facilitate the traffic department to more directly grasp the state of road traffic flow, manage, regulate and induce traffic flow to improve road network traffic efficiency, this paper will focus on traffic flow state statistics, traffic flow state simulation and decision-making schemes for different traffic states. Three aspects of research. Based on the physical formula and Greenhill's model theory, we will construct the basic model of traffic flow and vehicle average speed, and judge the road traffic state according to the maximum flow rate of different roads. Then we use Matlab to simulate the motion process of cars on roads. Finally, we propose a reasonable decision-making plan based on the analysis of traffic flow state.