基于GPS数据的拥挤状态下出租车运行信息提取技术

Extraction technology of taxis travel information under congestion state based on GPS data

出租车是城市公交系统的重要组成部分。伴随安装GPS车辆数量的增加,出租车动态运行信息的提取技术应运而生。基于GPS原始数据,给出数据预处理方法,并在此基础上,介绍基于动态载客位置的出租车出行分布估算方法。基于考虑拥挤状态下的路网模型,引入交通分布与交通分配结合的弹性需求用户均衡模型。运用双约束交通分布模型中参数的迭代标定方法提取出租车搜寻乘客等待时间和平均乘客等待出租车时间等信息,为科学地管理出租车市场提供一定的理论基础。

Taxi is the important component of urban transit system.With the advancement of taxis equipped with GPS,the extraction technology of dynamic taxi operation information emerges.Based on GPS float data,the preprocess data are introduced and the evaluation method of taxi OD matrics is presented based on occupied and unoccupied taxi this paper spot information.Based on the congested roadway network model,it puts forward the user equilibrium model with elastic demand,which is regarded as a combined trip distribution and assignment problem.The iterative determination method of parameters from the bi-constraint trip distribution model is applied to extract several measures,such as waiting time to search or wait customer by taxi driver and the expected average customer-waiting time.The conclusion might provide the theorical support for taxi market managenent scientifically.