基于GPS浮动车的城市道路交通宏观特征研究

Research of Urban Road Traffic Macroscopic Characteristics Based on GPS Floating Car

随着城市的快速发展,汽车数量的不断增加,城市面临越来越大的交通压力,智能交通系统是目前公认的解决交通拥堵的有效方法之一,但是为智能交通系统提供可靠的数据源成为智能交通系统建设的一个重要问题,浮动车技术作为新发展起来的一种交通信息采集方式,实践证明其能够可靠的为智能交通系统提供数据源。为了掌握城市道路交通的宏观特性,本文运用数据预处理、坐标转换,地图匹配、统计分析对浮动车数据进行了较深入的分析比较,直观的获取了城市交通的相关特征,对于城市交通规划和管理决策及人们出行具有一定的实用价值。

With the rapid development of the city, the increasing number of cars, the city iaces increasing traffic pressure, intelligent transportation system is one of the effective ways to solve the traffic congestion currently accepted, but to provide a reliable source of data for intelligent transportation systems an important issue in building intelligent transportation systems, floating car technology as newly developed a traffic information collection methods, the practice has proved capable of reliable data source for intelligent transportation systems. In order to grasp the macroscopic properties of the urban road traffic, the paper uses data preprocessing, coordinate conversio,, map matching, statistical analysis and a more in-depth analysis of floating car data comparison, intuitive access to relevant features of the urban transport, urban transport planning and management decisions and people travel has some practical value.