基于长春市浮动车数据的城市交通运行状态分析

Urban Traffic State Based on Float Car Data in Changchun

为了掌握长春市道路交通运行状态,通过提取出租车GPS信息作为长春市浮动车数据源,以长春市浮动车原始数据为基础,探讨浮动车数据采集与处理的方法,并与长春市现状道路模型进行地图匹配。通过拥堵感知数据分析和浮动车速度数据分析两种方法互相校验确定各等级道路阈值,对长春市路网速度进行时空特征分析。数据表明:除极端天气可能导致大面积、系统性拥堵外,长春市道路交通拥堵主要表现为局部时段和局部区域,并有扩散的趋势。此外,探讨了目前长春市浮动车数据的不足及下一步研究方向,为相关部门政策制定提供数据支撑和决策依据。

In order to master traffic state in Changchun,the paper uses Changchun taxi GPS data as flow car data(FCD),studies the method of data acquisition and processing based on FCD,then it does map matching with current road network model.By the method of congestion perception analysis and FCD analysis,the thresholds of congestion state for different grades of roads are confirmed.Then it uses FCD to analyzes the spatio-temporal characteristics of traffic in Changchun.The data showes that besides large-scale and systematic congestion led by extreme weather,traffic congestion in Changchun mainly manifests in local periods and regions,and has a trend of diffusion.Finally,the paper discusses the insufficiency of FCD in Changchun and the next research direction,it will provide data support and decision-making basis for the government administrative departments policy-making.