基于双流模型的城市交通状况宏观评价方法

Macroscopic Evaluation on Urban Traffic Condition Using a Two-fluid Model

为了解决量化评价中数据采集困难的问题,利用浮动车采集的GPS数据,应用GIS支持的地图匹配算法得到了单个车辆单位距离的行程时间、停驶时间和行驶时间,提出采用临界速度划分车辆运行状态并应用双流模型建立城市交通状况宏观评价的方法,以北京CBD地区为应用实例对评价模型进行了验证.结果表明,该方法可以综合反映城市道路网的交通状况,为交通管理及出行者信息服务提供依据.

Evaluations on urban traffic condition of urban street network forms the basis of macroscopic characteristics analysis of urban transportation system. To solve the problem of data collection while quantifying the overall performance of road network, this paper presents a method of data collection to obtain total travel time, running and stop time per unit distance of vehicles traveling in network using the FCD （Floating Car Data）. Map-matching is applied to calculate the travel speed of vehicle on the road link. A critical speed is employed to determine the vehicle state in order to establish the macroscopic evaluation methodology on the basis of two-fluid model. The field experiments were conducted in Beijing CBD area. The method reflects the general status of urban traffic condition and redounds to the improvement of the urban traffic management and the development of travelers information system.