基于多源信息融合的交通事故动态预警方法研究

发布时间：2018-02-25 17:48

本文关键词： 交通安全事故信息融合动态预警　出处：《重庆交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着经济发展，，机动车驾驶员数量及机动车保有量迅速地增加，道路交通事故量增大，造成了大量的人员伤亡和财产损失，阻碍着社会的和谐发展。预防和降低交通事故的发生、减少事故带来的人员伤亡和财产损失是道路交通安全领域的重要课题。本文从微观角度出发，研究了诱发交通事故发生的各种因素，建立了包含“道路、环境预警”和“行车预警”的交通事故预警系统。道路、环境预警分析了影响交通事故的道路、环境因素，并选取其中部分事故诱因作为预测指标体系，采用模糊融合方法将定性指标量化并与定量指标融合建立交通事故率预测模型。同时设安全指数作为预警参数，采用插值法建立事故率与安全指数的映射关系，通过得到的安全指数对应区间警度完成系统的预警功能；行车预警分析了不同事故类型的发生特征，建立驾驶员状态、机动车状态和环境因素与不同事故类型的映射关系表，采用粗糙集理论化简关系表得出最快融合算法的事故规则表。预警时，实时监测行车状态，根据事故规则表判断发生事故的可能性，实现系统的行车预警功能。最后采用实例仿真分析，分别验证了两个预警分系统方法的有效性。通过道路、环境和行车同步动态预警实现交通事故的全面预警功能。本文研究的多源信息融合的道路交通事故动态预警系统，能有效减少事故的发生，实现交通事故全面、科学、人性化的预防与控制，提高道路的安全水平，为事故多发道路的交通事故预警系统的建立提供理论依据和技术支持。
[Abstract]:With the development of economy, the number of motor vehicle drivers and vehicle ownership increases rapidly, and the number of road traffic accidents increases, resulting in a large number of casualties and property losses. It is an important task in the field of road traffic safety to prevent and reduce the occurrence of traffic accidents and to reduce the casualties and property losses caused by accidents. In this paper, from the microcosmic point of view, we study the various factors that induce traffic accidents, and establish a traffic accident warning system including "road, environmental warning" and "traffic warning". Environmental early warning analyzes the road and environment factors that affect traffic accidents, and selects some of the accident inducements as the prediction index system. The fuzzy fusion method is used to quantify the qualitative indexes and combine with the quantitative indexes to establish the traffic accident rate prediction model. At the same time, the safety index is taken as the early warning parameter, and the mapping relationship between the accident rate and the safety index is established by the interpolation method. The alarm function of the system is completed by the corresponding interval alarm degree of the safety index, and the occurrence characteristics of different accident types are analyzed, and the mapping tables of driver status, motor vehicle state and environment factors and different accident types are established. The rough set theory is used to simplify the relation table to get the accident rule table of the fastest fusion algorithm. In early warning, the driving state is monitored in real time, and the possibility of accident is judged according to the accident rule table. Finally, the effectiveness of the two early warning subsystem methods is verified by the simulation analysis of examples. The comprehensive warning function of traffic accidents is realized by dynamic road, environment and driving synchronization. The multi-source information fusion dynamic early-warning system for road traffic accidents can effectively reduce the occurrence of accidents, realize the comprehensive, scientific and humanized prevention and control of traffic accidents, and improve the safety level of roads. It provides theoretical basis and technical support for the establishment of traffic accident warning system on accident prone roads.
【学位授予单位】：重庆交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.3;U495

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