摘要
利用追踪手机位置来侦测道路信息的机制,这个机制不需要花费庞大的金额来架设及维护额外的侦测装置.运用行动网络中的测量报告讯号,结合指纹定位算法,依定位信息进行车速评估.在实验中以快速道路66号路段进行实际路测,其指纹定位算法位置估计误差的可达36.11m,车速评估的平均误差可达3.39%,提供准确的位置和车速准确度.此外,采用云计算进行平行处理,可有效改善指纹定位算法需要大量运算的限制.
The traffic information estimations from cellular network data are more immediately,cost-effective,and easy to deploy and maintain than traditional methods.Therefore,a novel speed estimation method based on fingerprint positioning algorithm（FPA）is proposed to analyze the measurement reports from cellular networks and estimate the vehicle speed accordance with location information.In experiments,the results show that the average error of location determination by using FPA is 36.11 meters.For speed estimation,the average error ratio of speed estimation by using FPA is 3.39%.Finally,cloud computing is used to analyze and process these large events from cellular network for FPA improvement.
出处
《武汉理工大学学报（交通科学与工程版）》
2013年第4期685-690,共6页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家科学委员会计划支持项目资助(批准号:NSC 101-2420-H-009-004-DR)
关键词
指纹定位
智能型运输系统
行动网络
交通信息
云计算
fingerprint positioning
intelligent transportation system
cellular network
traffic information
cloud computing
