基于广域雷达数据的交叉口微观仿真研究

A study of intersection microsimulation based on wide area radar data

为实现交叉口的精细化仿真与控制优化,提出一种基于广域雷达数据的交叉口车辆轨迹提取与微观仿真方法.首先运用广域雷达检测器等现代化交通检测技术采集车辆的位置、速度、方向等数据,得到每辆车的行驶轨迹;然后通过数据清洗、车道编号、车辆编号重置、统一坐标等步骤对数据进行处理;最后利用车辆行驶轨迹,建立了交叉口仿真平台,能够真实再现交通流的动态演化过程,并输出车道空间占有率、平均瞬时速度、排队长度和延误等指标.该仿真平台可以为交叉口的交通状态判别和控制优化提供强有力的工具.

In order to realize the fine simulation and control optimization of intersections,a vehicle trajectory extraction method and micro simulation method at the intersection based on wide area radar data was proposed.Firstly,the location,speed and direction of vehicles were collected through modern traffic detection technologies such as wide area radar detectors.Secondly,the data was processed through steps including data cleaning,lane numbering,vehicle number resetting,and coordinate unification.Finally,a simulation platform which could reproduce the dynamic evolution process of intersection traffic flow in real time was established based on the vehicle trajectory.Statistics such as lane space occupancy,average instantaneous speed,queue length and delays could be output from the simulation platform.Therefore a powerful simulating tool for traffic state identification and control optimization of intersections could be realized in the platform.