车联网信息技术高速公路预警与应急避险模型

交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (6): 35-40.

• 智能交通系统与信息技术 • 上一篇下一篇

车联网信息技术高速公路预警与应急避险模型

刘海洋 ¹，冯仲科^*1，吴云鹏 ²，呼诺 ¹，冯泽邦 ¹

1. 北京林业大学精准林业北京市重点实验室，北京 100083；2. 北京交通大学轨道交通控制与安全国家重点实验室，北京 100044

收稿日期:2018-07-09 修回日期:2018-09-29 出版日期:2018-12-25 发布日期:2018-12-25
作者简介:刘海洋(1990-)，男，内蒙古呼伦贝尔人，博士生.
基金资助:
北京林业大学青年教师科学研究中长期项目/ Beijing Forestry University Young Teacher Science Research Medium and Long Term Project(2015ZCQ-LX-01)；国家自然科学基金/ National Natural Science Foundation of China(U1710123)；国家重点研发计划/ National Key Basic Research Program of China(2016YFB1200203).

Freeway Early Warning and Emergency Avoidance Model of the VANET Information Technology

LIU Hai-yang¹, FENG Zhong-ke¹, WU Yun-peng², HU Nuo¹, FENG Ze-bang¹

1. Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China; 2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Received:2018-07-09 Revised:2018-09-29 Online:2018-12-25 Published:2018-12-25

摘要/Abstract

摘要：

为减少高速公路车辆追尾和连环追尾等事故，本文研究了车联网信息技术高速公路预警与避险模型.本文利用车联网系统，将交通事故快速预报给后方车辆，并实时分析路面车辆信息，帮助后方车辆及时做出合理应急方案和应急措施.试验证明，跟车预警模型能够及时提醒驾驶人员避免追尾，在无法避免正面碰撞时，应急避险模型能够根据路面状况做出有效判断，成功进行避险，避免连环追尾事故发生.公路试验中第3车减少制动距离9.2 m，第4车减少制动距离21.4 m，较大地缩减事故后续车辆行车制动距离，能够在密集的行车路段，有效降低连环追尾事故的发生，提高高速公路交通运输安全.

关键词: 公路运输, 信息技术, 车联网, 公路预警, 避险, 跟车模型

Abstract:

In order to reduce highway vehicle rear end collision and chain rear end collision, this paper studies the early warning and risk avoidance of the VANET information technology. This article uses the VANET information technology to quickly forecast the rear vehicles of traffic accidents, obtains and analyzes the information of the road vehicles according to the VANET information technology, and helps the rear vehicle drivers to make reasonable emergency plans in time and make emergency measures. The test proves that following the early warning model can prompt the driver to avoid rear-end collisions. When the traffic can not avoid frontal collision, the emergency hedging model can make effective judgments according to the road conditions, and successfully avoid the rear-end collision accident. In the highway test, the third vehicle reduced the braking distance by 9.2 m, and the fourth vehicle reduced the braking distance by 21.4 m, greatly reducing the vehicle braking distance of the accident follow-up vehicles. The accident can effectively reduce the occurrence of accidents such as rear-end collision in dense traffic lanes, and improve highway transportation safety.

Key words: highway transportation, information technology, VANET, freeway early warning, risk avoidance, car-following model

中图分类号:

U268.6

刘海洋，冯仲科，吴云鹏，呼诺，冯泽邦 . 车联网信息技术高速公路预警与应急避险模型[J]. 交通运输系统工程与信息, 2018, 18(6): 35-40.

LIU Hai-yang, FENG Zhong-ke, WU Yun-peng, HU Nuo, FENG Ze-bang. Freeway Early Warning and Emergency Avoidance Model of the VANET Information Technology[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 35-40.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19727.shtml

http://www.tseit.org.cn/CN/Y2018/V18/I6/35

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车联网信息技术高速公路预警与应急避险模型

Freeway Early Warning and Emergency Avoidance Model of the VANET Information Technology

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