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Assisted Decision Support System Of Emergency Traffic Guidance Related Model And Method Research

Posted on:2012-06-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:R TianFull Text:PDF
GTID:1102330335453024Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
With the number of cars rapid growth in our country large and medium-sized city, urban traffic accident and traffic congestion problems have become the bottleneck of the city's economic development. Chinese cities are in "the crisis will occur frequently comparatively". Disaster events have more and more influence to the people life, and have the tremendous threat for people lives and property. As a modern city traffic artery, any relief activities are inseparable from the roads. And the roads are the main form of traffic guidance, is distribution emergency supplies, personnel, emergency medical aid and other emergency rescue premise condition, meanwhile road free can reduce the loss of life and property, to minimize the loss events. For example from du jiangyan to wen chuan the highway is the lifeline during of aseismatic wen chuan earthquake.Because the roads were seriously damaged by the debris flow destroyed and lead to disaster relief supplies and personnel can't enter.The affected population can not be evacuated in time. The rescue work cann't be done,so the disaster was further deterioration. Therefore, the research and developmen of actively carry out the emergency traffic organization and traffic emergency decision support systemt have important practical significance to provide effective information for disaster relief,to reduce the level of disaster losses and to enhance our country's response to major disasters ability.At present, the domestic and foreign many areas of emergency decision support are integrated application technology and the method of expert system.The artificial intelligence technology can simulate the expert knowledge and the thinking process. It can be reach or come close to experts level. Meanwhile these have achieved great progress in knowledge acquisition, knowledge representation, knowledge storage and utilization of knowledge areas.Based on this background, Ministry of Science and Technology instituted thematic issues named 863 program (2009AA11Z218) to research traffic security technology under a major disaster jointly.This paper mainly study and discuss on the assisted decision support system of emergency traffic guidance in fatal disaster. Based on the expert system as the core, this paper has established the city assisted decision support system of emergency with the information collection system for transportation and other data information system. This paper studies the content as follows:1) Under the emergency condition, the emergency transportation decision support system's effect depends on the comprehensive, timeliness and reliability of the road network and the transportation information. Because the emergency has the remarkable burst characteristics and destructiveness, based on remote sensing images and the traffic information collection technology research has the very vital practical significance. This paper is based on this goal to do some tentative research on the car and single vehicle extraction algorithm of the remote sensing image, and has designed the extraction algorithm of the remote sensing image density information. The proposed method is simple and effective, and in general traffic engineering application can satisfy the requirement of accuracy.2) The model base is the most difficult to achieve part in the emergency traffic control decision support system.The user can make the decision in according to the model. According to the disaster condition traffic emergency decision support system function requirements,this paper designs the emergency decision support system model base and the key technologies,which based on the cloud model's traffic flow forecasting technology and the contract pattern's dynamic traffic distribution.3) This paper has made the analysis the concepts of knowledge and reasoning,then preliminary designs the system foundation database, including the pre-arranged planning database and resource database. This paper has research the task and methods of knowledge acquisition.And put forward a traffic condition knowledge acquisition method based on a rough set, to realize the automatic acquisition traffic. Finally,this paper has detailed analysis the reasoning control strategy and method, and on this basis, proposes a case-based reasoning decision-making methods to ease traffic congestion and improve the emergency traffic control and flexibility in decision-making intelligence.4) This paper has made the analysis about the relevant characteristics of the system, the system user needs, information needs and other needs.And designs the system's interactive interface development and implementation.Finally,this paper realizes came true system development.The assisted decision support system is a major technology in the research traffic security technology under a major disaster jointly. Active research related model and method of the traffic emergency decision support system has important practical significance and practical value.
Keywords/Search Tags:Emergency traffic, Decision Support System, Cloud model, Inference Mechanism Case-Based Reasoning, Knowledge Base
PDF Full Text Request
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