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Intelligent Transportation Systems ITS (Intelligent transportation system) is the future development direction of the main transport system , which combines the advanced information acquisition and processing technology, computer technology, communication and network technology, automatic control , the establishment of a large range in , all-round play , real-time , efficient and accurate comprehensive traffic management planning system. Installation of traffic detector layout is an important component of the entire ITS achieve real-time location of vehicles . Vehicle scheduling and navigation, traffic flow management. Article focuses on acquisition subsystem traffic detector placement and optimization of information collected in the error handling , the main contents include: First, given the general layout of traffic detector principle proposed traffic detector layout optimization method , traffic detector optimized dots are arranged choose to get the maximum traffic information , it is necessary in certain road network layout information detecting apparatus OD coverage through the principles and the principle of independence , you can get efficient, and has a large overlay network detector layout point optimization . Second , the use of fuzzy comprehensive evaluation method for the selection of the type detectors do analysis, the optimal arrangement of detectors initial program ; traffic information detection point in the layout of choice under certain conditions , select the need to consider what kind of information detection system pavement and the detector itself and other factors, by analyzing the impact of factors that determine the weight of evaluation , fuzzy evaluation matrix , to choose the most suitable type of detector . Third, the traffic data collected by the detector denoising work , combined with the threshold detection and traffic parameters combined detection of errors in processing the resulting information , and using linear interpolation approach for dealing with some of the information for data recovery. Finally, the paper summarizes the research work , the article pointed out that innovation and further research directions.
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