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基于GIS和GPS的交通状态参数估计与仿真模型
引用本文:童小华,陈建阳.基于GIS和GPS的交通状态参数估计与仿真模型[J].同济大学学报(自然科学版),2005,33(12):1604-1607.
作者姓名:童小华  陈建阳
作者单位:1. 同济大学,测量与国土信息工程系,上海,200092;同济大学,现代工程测量国家测绘局重点实验室,上海,200092
2. 同济大学,交通工程系,上海,200092
基金项目:国家自然科学基金资助项目(40301043,40171078),上海市青年科技启明星计划资助项目(05QMX1456),测绘遥感信息工程国家重点实验室开放研究基金项目(WKL(03)0301)
摘    要:基于“大样本,长周期”条件(大样本指车辆数5 000~50 000,长周期指GPS位置传送间隔2~5 min),探讨了在GIS环境下用仿真出租车GPS信息来估计和推算行程时间参数,包括建立参数估计模型、基于GIS的仿真、采用Householder变换解算大规模矩阵;最后将通过仿真系统模拟获得的解算结果数据,与最初给每条路段预设的等级而确定的每条路段上行驶的时间相比较,实验表明达到预期效果,验证了模型和方法的有效性.

关 键 词:行程时间估计  最小二乘  Householder变换  全球卫星定位系统  地理信息系统
文章编号:0253-374X(2005)12-1604-04
收稿时间:07 2 2004 12:00AM
修稿时间:2004-07-02

Travel Time Estimation and Simulation Model Based on Taxi-Based GPS and GIS
TONG Xiao-hua,CHEN Jian-yang.Travel Time Estimation and Simulation Model Based on Taxi-Based GPS and GIS[J].Journal of Tongji University(Natural Science),2005,33(12):1604-1607.
Authors:TONG Xiao-hua  CHEN Jian-yang
Institution:1. Department of Surveying and Land Information Engineer,Tongji University,Shanghai 200092, China; 2. Key Laboratory of Advanced Engineering Survey of the State Burea of Surveying and Mapping, Tongjl University, Shanghai 200092, China; 3. Department of Traffic Engineering, Tongji University, Shanghai 200092, China
Abstract:A new travel time estimation method using taxi based GPS and GIS is studied in this paper. Based on enough taxi based GPS observations and long GPS observation for transfer interval, a least squares based model is first proposed to obtain for the travel time parameters. A simulation system based on GIS is then developed. The steps to estimation for the travel time are therefore presented, including the transformation of GPS coordinates, simulation of taxi driving tracks, route determination, route rounding and estimation of the travel times in all the road segments. A Householder transformation is further used to calculate massive and ill-conditioned equations to obtain the real time estimation parameters. Case studies are discussed through the implementation of the simulation system, and the result proves the feasibility of the proposed models and methods.
Keywords:travel time estimation  least squares  Householder transformation  GPS  GIS  
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