公路事故多发段交通安全快速应急技术研究

发布时间：2018-06-01 10:47

本文选题：公路网络 + 异常事件　；参考：《吉林大学》2013年硕士论文

【摘要】：在公路网络系统中，交通事故的原因诸多，一般的来讲，地质灾害、恶劣气候而引起的公路交通事故更是屡见不鲜。地质灾害及气候条件，如山体滑坡、雨、雪、雾、沙尘暴等对公路安全运行状态的危害很大，尤其在大雾和雨雪的恶劣气候条件下，公路交通事故明显呈现多发的趋势。如果可以对这些公路异常事件做实时有效的检测，并在此基础上，做一定的预防救援措施，势必可以提高车辆在行驶过程中的安全性。因此，有必要对其进行深入研究。一般情况下，通过研究事故多发段公路行车安全的保障系统，对异常事件进行风险监测评估，制定相应的管理和控制措施，预防事故多发路段交通事故的发生，降低事故率，提高公路运输效率，保障交通安全具有重大意义。论文的思想就是在此基础上建立的，通过研究多因素条件下的公路异常事件，运用先进的视频检测方法，提高辨识的精准度。同时，在启用最优化的快速响应机制后，达到经济损失、资源耗费最小化的目的。本论文就是在此基础上，针对我国公路异常事件种类的多样性、时间及地点多变的特点，提出了运用先进的视频技术检测公路的安全信息，并对异常事件进行辨别和评估，以便准确的判断事故多发段所存在的潜在风险。最后通过预案平台的搭建，构建出快速响应的救援机制。通过实时有效地检测及后续的救援行动可以将异常事件所产生的影响减到最小，，直接降低了公路交通网络异常事件带来的经济损失。章节中所涉及到的视频检测技术、异常事件辨识及评估的方法是研究的基础，目的是通过先进的技术对公路异常事件做出快速的反应，研究的结论可以为公路网络安全系统的建设和管理提供相应的理论依据。
[Abstract]:In the highway network system, there are many causes of traffic accidents, generally speaking, geological disasters, bad weather caused by road traffic accidents are common. Geological hazards and climatic conditions, such as landslide, rain, snow, fog, dust storm, and so on, are harmful to the safe operation of highway, especially under the bad weather conditions of heavy fog and rain and snow. If these abnormal events can be detected in real time and effective, and on the basis of this, some preventive and rescue measures can be taken to improve the safety of the vehicle in the course of driving. Therefore, it is necessary to further study it. In general, by studying the safety system of accident prone section of highway, monitoring and evaluating the risk of abnormal events, formulating corresponding management and control measures, preventing the occurrence of traffic accidents in accident prone sections and reducing the accident rate, It is of great significance to improve the efficiency of highway transportation and ensure traffic safety. The idea of this paper is based on this, through the study of highway abnormal events under multi-factor conditions, the use of advanced video detection methods to improve the accuracy of identification. At the same time, the optimal rapid response mechanism is used to minimize economic loss and resource consumption. On the basis of this, in view of the diversity, time and place of highway abnormal events in China, this paper proposes to use advanced video technology to detect highway safety information, and to identify and evaluate abnormal events. In order to accurately judge the potential risk of accident-prone section. Finally, a quick response rescue mechanism is constructed through the construction of the plan platform. Through real-time and effective detection and subsequent rescue operations, the impact of abnormal events can be minimized, and the economic losses caused by abnormal events in highway traffic network can be directly reduced. The video detection techniques involved in the chapter, the methods of identifying and evaluating abnormal events, are the basis of the research. The purpose of this research is to make a rapid response to highway abnormal events through advanced technology. The conclusion can provide the corresponding theoretical basis for the construction and management of highway network security system.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U492.8

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