The Sensor Deployment And Transmission Optimization In Traffic Sensor Network

With the rapid growth of the socio-economic activities, urban traffic congestion has become worse. Construing the traffic state reasonably is an important basis for collaboration of traffic control and route guidance. Intelligent Transportation System (ITS) is an effective way and development direction to solve to the ground transportation problems. Whether ITS can run efficiently and accurately depends on if the road traffic information obtained is comprehensive, accurate, and real-time. Traffic sensor network play an important role in traffic information accessing.The urban transport network is composed of thousands of sections and intersections. Because of the sensors'cost, any country can not deploy traffic sensor network in all sections and intersections. In addition, the traffic sensor network is an enormous network system, so the sensor transmission cost is another bottleneck for the development of traffic sensor network. It is a problem deserving of study to find out how to layout the nodes and optimize transmission reasonably, and how to get comprehensive and accurate traffic information at the lowest cost.Traffic sensor network optimization consists of two parts, the traffic information acquisition layer optimization and traffic information transmission layer optimization. The traffic information acquisition layer considers how to obtain the largest amount of information traffic with the lowest cost, and the traffic information transmission layer considers how to transfer the traffic data with the lowest cost, and they are two steps from information acquisition to information transmission, with the order and indispensability.By summarizing and analyzing the classical methods of traffic sensor network optimization at home and abroad, this paper does the research as follows:First, combining the direction of sensor deployment optimization in traffic sensor network, this paper illustrates each parameter's physical meaning in sensor deployment optimization model, and analyzes effect of parameters on the model results. According to the Beijing third ring road example, this paper discusses the results under the different information functions of bridge area and non-bridge area. The paper also proposes the model expansion in the practical application;Second, according to the sensor network status of traffic management and control in Beijing, this paper proposes the sensor network optimization solutions in intersection, expressways, and regional road networks. This paper validates the feasibility of access optimization by an intersection example. According a large number of comparison tests, this paper summarizes the appropriate compression ratio of picture lossy compression to log lossless compression in the traffic management and dispatching sensor network.