中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2018, Vol. 37 ›› Issue (05): 97-103.DOI: 10.3969/j.issn.1674-0696.2018.05.17

• 交通运输工程 • 上一篇    下一篇

基于GPS数据的高速公路车辆异常行为检测

杨龙海1,徐洪2,张春1   

  1. (1. 哈尔滨工业大学 交通科学与工程学院,黑龙江 哈尔滨 150090; 2. 重庆市交通规划研究院,重庆 401147)
  • 收稿日期:2016-09-18 修回日期:2017-01-03 出版日期:2018-05-15 发布日期:2018-05-15
  • 作者简介:杨龙海(1970—),男,安徽巢湖人,副教授,博士,主要从事交通流理论、交通规划及仿真方面的研究。E-mail:yanglonghai@hit.edu.cn。 通信作者:徐 洪(1991—),男,云南昭通人,硕士,主要从事交通流理论、交通规划及仿真方面的研究。E-mail:hitxuhong@163.com。

Vehicle Abnormal Behavior Detection on Freeway Based on Global Positioning System Data

YANG Longhai1, XU Hong2, ZHANG Chun1   

  1. (1. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, Heilongjiang, P. R. China; 2. Chongqing Transport Planning and Research Institute, Chongqing 401147, P. R. China)
  • Received:2016-09-18 Revised:2017-01-03 Online:2018-05-15 Published:2018-05-15

摘要: 车辆异常行为是造成高速公路交通隐患的主要原因之一。为了提高高速公路的安全管理,通过对车辆GPS数据进行分析,将连续11次定位的车辆速度、加速度作为输入参数,进行神经网 络分类器的设计与训练,设计基于GPS数据的车辆异常行为分级检测算法。通过GPS实验和VISSIM模拟仿真各类车辆异常行为,分析检验检测算法,结果表明提出的分级检测算法具有较高的检 测率,能够有效的识别各类车辆异常行为。

关键词: 交通工程, 高速公路, 车辆异常行为检测, GPS定位, 分级检测算法, 神经网络

Abstract: Vehicle abnormal behavior is one of the main causes of freeway traffic accident. In order to improve the safety management of the freeway, the vehicle global positioning system (GPS) data were analyzed. The vehicle speed and acceleration of 11 time of consecutive positioning were taken as input parameters, and the designing and training of neural network classifier was carried out. Finally, a hierarchical detection algorithm for vehicle abnormal behavior of freeway based on GPS data was designed.Through GPS experiments and VISSIM simulation, various types of vehicle abnormal behaviors were simulated, and the proposed detection algorithm was analyzed and verified. The results show that the proposed hierarchical detection algorithm has a high detection rate and can effectively identify all kinds of vehicle abnormal behaviors.

Key words: traffic engineering, freeway, vehicle abnormal behavior detection, global positioning system (GPS) positioning, hierarchical detection algorithm, neural network

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