北京航空航天大学学报 ›› 2014, Vol. 40 ›› Issue (3): 309-313.doi: 10.13700/j.bh.1001-5965.2013.0675

• 论文 • 上一篇    下一篇

空地协同交通状态感知与应急指挥系统构建

张欲晓1, 王云鹏1, 唐文忠2, 李宏刚3   

  1. 1. 北京航空航天大学 交通科学与工程学院, 北京 100191;
    2. 北京航空航天大学 计算机学院, 北京 100191;
    3. 中国智能交通协会, 北京 100070
  • 收稿日期:2013-11-02 出版日期:2014-03-20 发布日期:2014-03-29
  • 基金资助:
    国家863基金资助项目(2012AA112302)

Air-ground coordination traffic status perception and emergency commanding system construction

Zhang Yuxiao1, Wang Yunpeng1, Tang Wenzhong2, Li Honggang3   

  1. 1. School of Transportation Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    2. School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
    3. China Intelligent Transportation System Association, Beijing 100070, China
  • Received:2013-11-02 Online:2014-03-20 Published:2014-03-29

摘要: 交通事件发生的时间和地点具有不可预测性,不及时处理将会严重干扰交通流的正常运行.构建了基于空基的交通状态感知和应急指挥系统,并提出了系统建设的原则;研究了系统的体系结构,将整个系统分为信息采集层、网络传输层、安全管理层、应急指挥层4个层次.信息采集层主要通过空基、地基等多种手段获取交通信息;网络传输层处理各类网络通信数据包的存储和转发;安全管理层确保系统数据和传输的安全;应急指挥层实现统一接警、处警决策与协调指挥.实现了基于空基信息的道路轮廓特征和电子地图矢量道路的提取,以及航拍图像与电子地图的匹配,为辨识突发事件情况下的路段排队长度和车辆密度奠定了基础.

Abstract: The time and place of traffic incident is unpredictable. It will seriously disturb the normal traffic if not dealt with in timely manner. The space-based traffic status perception and emergency commanding system was built, and its contribution principles were proposed. The system architecture was researched, which was divided into 4 layers, that is information acquisition layer, network layer, safety management layer and emergency command layer. Information acquisition layer mainly obtains the traffic information through a variety of ways such as ground or space-based foundation. Network transmission layer handles the store and forward of all types network communication packet. Safety management layer ensures the safety of system data and transport. Emergency commanding layer realizes unification receiving alarm, dealing alarm decision and coordinate command. The space-based information extraction about road contour feature and vector electronic map, and the matching between aerial images and electronic map were all realized. It laid a good foundation for identifying queuing length and vehicle density caused by an emergency situation.

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