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浙江大学学报(工学版)  2018, Vol. 52 Issue (5): 836-844    DOI: 10.3785/j.issn.1008-973X.2018.05.003
土木与交通工程     
基于车牌识别数据的机动车出行轨迹提取算法
阮树斌, 王福建, 马东方, 金盛, 王殿海
浙江大学 建筑工程学院, 浙江 杭州 310058
Vehicle trajectory extraction algorithm based on license plate recognition data
RUAN Shu-bin, WANG Fu-jian, MA Dong-fang, JIN Sheng, WANG Dian-hai
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
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摘要:

为了提取城市路网上所有运行车辆的出行轨迹,系统科学地再现所有车辆的运行场景,进而为分析城市交通需求的结构和时空分布特性提供数据支撑,提出基于车牌识别数据的机动车出行轨迹提取算法.通过车牌及时间戳排序提取出行链;利用相邻节点间的速度,结合交叉口邻接矩阵完成行链的分离;基于K则最短路径算法(KSP算法)及灰色关联法(GRA算法),对出行轨迹进行补全重构.对贵阳市南明区的实际车牌识别数据进行算法测试.结果表明,提出的基于车牌识别数据的机动车出行轨迹提取算法在测试区域的综合准确率大于92%.

Abstract:

The vehicle trajectory extraction algorithm based on license plate recognition data, in order to extract the travel trajectory of all vehicles running on the urban road network, systematically reproduce the operation of all vehicles scene, and provide data support for analyzing the structure and spatial and temporal distribution characteristics of urban traffic demand. The travel chain through the license plate and timestamp was sorted out; The separation of the travel chain was accomplished by using the velocity between adjacent nodes and the intersection matrix; The travel trajectory based on K shortest path algorithm (KSP algorithm) and Gray relational analysis (GRA algorithm) was completed. The algorithm was tested based on the actual license plate identification data of Nan-ming District, Guiyang City, Results show that the algorithm based on the license plate recognition data is more than 92% in the test area.

收稿日期: 2017-04-21 出版日期: 2018-11-07
CLC:  U491.5  
基金资助:

国家自然科学基金资助项目(61304191,51338008,51208462,51278455).

通讯作者: 王福建,男,副教授.orcid.org/0000-0002-6006-4423.     E-mail: ciewfj@zju.edu.cn
作者简介: 阮树斌(1993-),男,硕士生,从事交通运输规划及管理等研究.orcid.org/0000-0002-4278-534X.E-mail:ruanshubin@zju.edu.cn
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引用本文:

阮树斌, 王福建, 马东方, 金盛, 王殿海. 基于车牌识别数据的机动车出行轨迹提取算法[J]. 浙江大学学报(工学版), 2018, 52(5): 836-844.

RUAN Shu-bin, WANG Fu-jian, MA Dong-fang, JIN Sheng, WANG Dian-hai. Vehicle trajectory extraction algorithm based on license plate recognition data. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(5): 836-844.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2018.05.003        http://www.zjujournals.com/eng/CN/Y2018/V52/I5/836

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