| Intelligent transportation system (ITS) are the best channel that solves ground traffic problem efficiently and develop direction. Whether efficient operation, ITS system depends on comprehensive, accurate and real time dynamic traffic information. Road network consist of thousands of and hundreds of links and intersections, they are more in bigger city. No matter developing countries or developed countries, which impossible install the detection facility of dynamic traffic information in all links and intersections. It is worthy of research problem that in which link install detector and what detection technical is selected and detection location and the quantity of detector, Which satisfy the ITS system demand for dynamic traffic information reasonably The thesis with national intelligent traffic systems crucial technical development and the subject<< basic traffic information collection and optimization scheme research>>which is the son program of the demonstration project << basic traffic information collection and fusion technical research >> is to rely on study. It have studied the basic composition of various detector technologies and the technology function in systematically and comprehensive, which has offered basis for later research ( the option of sensor )and is a basic part of the thesis .Then have put forward enforcement method and the step of detector space distribution optimization. First, apply the method of grey clustering analysis, according to the characteristic of the correlation of traffic flow in road network we devide the links which of road network to different classification; Then, use experience method or multistage fuzzy judge method of the option that carries out the technology of detection; Finally establish model application program with the method that data fusion ( Bayes algorithm ) to determine the quantity of detector. Major research content of each chapter is as following : First Chapter: Introduction. First, the chapter illustrates the foundation of subject and the background of the thesis which is researched significance and necessity. Then state the development, intension, research substance, direction and purpose of intelligent transportation system, analyse current traffic problem and reason of the city, put forward the method of solution. Summarize the writing train of thought of paper finally, elaborate meaning and the major purpose of paper research, which establish foundation and show clearly direction for the research of later chapter . Second Chapter: Dynamic traffic information detection ( capablity. This chapter introduces basic principle, communication format, data format and performance, of inductive loop detectors, infrared sensors, video image sensors, acoustic sensors, ultrasonic sensors, piezoelectricity sensors, and magnetic sensors. This chapter is a foundation of the paper and provides the guideline for selecting traffic detectors.3th Chapter: Dynamic traffic information detection slection . The research of experience method of traffic detector selection. First, introduces the influencing factor of sensor selection, such as data type, data value range, data value precision, monitoring area, counts of lanes, road geometry line shape and structural, road material, building, trees and meteorology condition for signal transmission disturb, The needs of data transmission, etc. The expenditure of traffic detector during its life period includes purchasing cost, installation and maintenance cost. Lastly, the chapter puts forward the quanlitive method of selecting traffic detector, based on the comparision of data type of various traffic sensors. The section has the research on the comprehensive multilevel fuzzy judge model of detector selection. The key research is to determine the subordinate degree. This chapter determines with the method of fuzzy statistics 4th Chapter: Model of detector space distribution optimization .The research on optimization and distribution of detectors. This chapter has the analysis of relativity of traffic volum... |
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