城市交通状态判别方法的研究

针对国内交通状态判别方法存在交通状态划分不详细及判断交通状态的参数单一等缺陷，本文根据试验路段检测器提供的车流量、车速和占有率数据，提出了一种城市交通状态判别方法，该方法通过划分4种交通状态（通畅、缓慢、拥堵、锁死）来表征路上车辆运行状况，并用VISSIM交通仿真软件搭建了一个模拟仿真环境，仿真结果表明，路段密度、排队长度与行程时间相比，路段密度和排队长度的曲线规律性最好，说明采用机动车排队长度算法和交通密度算法可以判别道路交通状态。本方法能有效判断小范围内道路交通状态。

Research on Methods of Urban Road Traffic Condition Identification

Traffic guidance is an effective method to relieve the urban traffic condition,and the core algorithm is to discriminate the traffic state.This paper proposes an urban traffic state discrimination method,according to the traffic volume,speed and market share data provided by the detector in the test section.This method is divided into four traffic states including smooth,slow,jams and locked,and the four traffic states can explain the road condition.This paper uses VISSIM software to build a simulation environment.Simulation results show that the present methods can effectively judge traffic states.