道路交通事故应急救援辅助系统的研究

发布时间：2018-05-03 22:22

本文选题：应急救援 + 多智能体　；参考：《兰州交通大学》2015年硕士论文

【摘要】：随着城市居民拥有车辆数的飞速增加导致城市道路交通质量下降,交通事故率极度升高,因为报警不及时以及交通拥堵等问题对应急救援的压力愈加繁重。而我国现有的交通事故救援体系相对比较脆弱,在事故救援过程中,呼救不及时以及交通拥堵等问题导致救援效率不高,延误了伤者救援的时机从而造成更大的财产损失。智能交通系统在当前城市交通领域的应用越来越广泛,它根据城市的特点对城市交通基础设施进行升级,而随着计算机技术、物联网技术、地理信息技术以及人工智能控制技术的日益成熟,建立和完善道路交通事故救援系统是目前亟待解决的技术难题,也是解决城市道路应急救援的一项重要任务。本文利用多Agent理论,对传统的事故救援辅助系统做了救援任务组织策略的研究,使城市道路交通事故应急救援硬件系统可操作性提高,并在应急救援策略上应用并优化了合同网策略,使得辅助救援系统过程可控、高效。论文的主要内容如下:(1)目前的事故报警系统主要是依靠传统的电话报警或者视频监控而获知,在明确报警信息的获取是应急救援系统的不足之后,提出应用物联网系统,对STC89C52单片机进行开发,建立了道路交通事故应急救援辅助系统的硬件系统,为系统的构建提供技术支撑。(2)软件决策阶段主要采用多Agent的任务协商理论来进行,根据对多Agent理论的分析,提出构建车辆Agent的BDI(Belief-Desire-Intention,信念—愿望—意图)模型的构建方式,建立了多Agent应急救援模型,并引入合同网策略,将一个复杂的应急救援问题转化为以事故发生点为基准的现场救援任务的分配问题。(3)基于合同网的任务分配算法根据救援任务类型的不同而采取不同的救援组织办法,分别建立基于合同网的现场区域救援算法,同时应用动态插值对合同网进行优化,提出基于动态调整优化的合同网算法来应对事故应急救援的突发状况。结合试验,对优化模型进行仿真,并与传统的道路交通事故应急救援方式进行对比,证明了辅助系统的有效性,能够对传统的交通事故救援方式起到补充作用。
[Abstract]:With the rapid increase in the number of vehicles owned by urban residents, the quality of urban road traffic is declining, and the traffic accident rate is extremely high, because of the untimely alarm and traffic congestion and other problems on the pressure of emergency relief increasingly heavy. However, the existing traffic accident rescue system in our country is relatively fragile. In the process of accident rescue, the problems of untimely call for help and traffic congestion lead to low rescue efficiency and delay the time of rescue for the injured, thus causing greater property losses. Intelligent Transportation system (its) is more and more widely used in the field of urban transportation. It upgrades the urban transportation infrastructure according to the characteristics of the city, and with the computer technology, Internet of things technology, With the development of geographic information technology and artificial intelligence control technology, it is an urgent technical problem to establish and perfect the road traffic accident rescue system. It is also an important task to solve the urban road emergency rescue. This paper makes use of the multi- theory to study the strategy of the traditional accident rescue assistant system, which makes the hardware system of emergency rescue of urban road traffic accident more operable. The contract network strategy is applied and optimized in emergency rescue strategy, which makes the process of auxiliary rescue system controllable and efficient. The main contents of this paper are as follows: 1) the current incident alarm system is mainly based on the traditional telephone alarm or video surveillance. After it is clear that the acquisition of alarm information is the deficiency of the emergency rescue system, the application of the Internet of things system is put forward. The STC89C52 single chip computer is developed, and the hardware system of the road traffic accident emergency rescue assistant system is established, which provides technical support for the construction of the system. The software decision-making stage is mainly carried out by the multi- task negotiation theory. Based on the analysis of the theory of multiple Agent, this paper puts forward the method of constructing the BDI Agent Belief-Desire-Intentionmodel, establishes the multi-Agent emergency rescue model, and introduces the contract net strategy. A complex emergency rescue problem is transformed into the assignment problem of on-site rescue task based on the accident occurrence point. (3) the task assignment algorithm based on contract net adopts different methods of rescue organization according to the different types of rescue mission. At the same time, the dynamic interpolation is used to optimize the contract network, and a contract network algorithm based on dynamic adjustment optimization is proposed to deal with the emergency situation. Combined with the experiment, the optimization model is simulated and compared with the traditional road traffic accident emergency rescue method, which proves the effectiveness of the auxiliary system and can play a complementary role to the traditional traffic accident rescue mode.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U492.8

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