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针对探测车历史数据的离线地图匹配算法 被引量:2

Offline Map-matching for Archived Probe Vehicle Data
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摘要 在现有的离线地图匹配算法基础上,采用两次栅格化的思想设计改进算法,大幅度减少了原有地图匹配算法中点到线段距离的计算次数。试验结果显示,本文算法提升地图匹配效率的同时保持了较高的匹配精度,可快速处理大规模的、数据发送间隔在10~60s之间的探测车历史数据。 Matching a trajectory of probe vehicle to the roads on the map is necessary to calculate link travel time from probe data. Based on existing offline map-matching algorithms, a map-matching algorithm aiming at archived probe vehicle data is developed. Idea of twice gridding is incorporated into the algorithm, which brings greatly decrease of counts for computing the distance from point to link. Experimental results show that the proposed algorithm significantly improves the efficiency and holds a relative high level accuracy for mapmatching. This algorithm is capable of dealing with large-scale archived probe vehicle data having data-sending-rate of one point every 10-60 s.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2013年第2期244-247,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(50808108)
关键词 探测车 地图匹配 GPS 历史数据 probe vehicle map matching GPS archived data
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  • 1刘宇环,姚恩建,李欣,李建军,钱越.浮动车系统地图的匹配精度[J].公路交通科技,2011,28(S1):86-90. 被引量:1
  • 2薛明,吕卫锋,诸彤宇.浮动车信息处理系统关键技术的研究[J].微计算机信息,2006,22(11S):244-246. 被引量:8
  • 3Lou Y, Zhang Y,Zheng Y,et al. Map-matching for low-sampling-rate GPS trajectories: GIS’09. New York, NY, USA, ACM,2009.
  • 4Miwa T,Kiuchi D, Yamamoto T, et al. Development of map matc-hing algorithm for low frequency probe data. Transportation ResearchPart C-Emerging Technologies, 2012; 22:132-145.
  • 5Tradisauskas N, Juhl J, I^hrmann H, et al. On map-matching for in-telligent speed adaptation. Intelligent Transport Systems, IET, 2009;3(1) : 57-66.
  • 6Rahmani M, Koutsopoulos H N. Path inference from sparse floatingcar data for urban networks. Transport Research Part C-EmergingTechnologies, 2013 ;30 ; 41一54.
  • 7Velaga N R, Quddus M A, Bristow A L. Developing an enhancedweight-based topological map matching algorithm for intelligent trans-port systems. Transportation Research Part C : Emerging Technolo-gies, 2009; 17 (6) : 672-683.
  • 8Chung E, Sarvi M, Murakami Y fet al. Cleasing of probe car data todetermine trip OD. 2004-5-8.
  • 9Cheu R L,Xi C,Lee D H. Probe vehicle population and sample sizefor arterial speed estimation. Computer Aided Civil and Infrastruc-ture Engineering, 2002: 53-60.
  • 10Brakatsoulas S,Pfoser D, Tiyfona N. Practical data managementtechniques for vehicle tracking data. Proceedings of 21st Internation-al Conference on Data Engineering. Tokyo : IEEE,2005 : 324-325.

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