ABSTRACT In recent years, affected by the natural environment and human activities increasing China's natural disasters,loss of property caused by the lifeline of the people are becoming increasingly serious.Road transport system assumes significant role in major natural disaster emergency relief and protection of important activities,the effectiveness of disaster relief and smooth transport efficiency is directly related to road traffic.Quick access to state disaster Highway Traffic flow information is critical to protect the lifeline but the initial disaster extensive transportation lifeline disaster Information sources, data disorders, therefore, multi-source information fusion vital lifeline road transport technology research. Firstly, expounded the meaning of road transport lifeline,according to the relevant literature and field research results,summarized and analyzed the typical type of major natural disasters destroy Highway Traffic lifeline;classification method based on hybrid lifeline disaster information highway classification according disaster emergency focus on disaster relief phase of road traffic requirements,proposed highway lifeline disaster information needs. Based on existing information collection technology at home and abroad to build to meet the information needs of post-disaster disaster lifeline road traffic information collection network,analyzed the actual application process each information collection methods. Information extraction depth research on remote sensing images road characteristics, proposed corrupted information extraction method based on ENVI and ArcGIS road. Meanwhile, the analysis of the applicability of the different methods of information transmission,ensure rapid delivery of disaster information. Characteristics of disaster information network to get information collection based on Information fusion defined elaborated multi-source information fusion disaster lifeline road traffic implications. Based information source characteristics and information needs of the disaster,road transport lifeline proposed multi-source information fusion framework;against uncertain information fusion. Finally, the results of this study are summarized, pointed out the inadequacies of the future research directions are discussed.
Key words:highway lifeline, information needs, information collection, remote sensing Images, multi-source information fusion, D-S evidence theory
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