Intelligent Traffic Information Collecting Technology And Software Implementation

Recently, our national highway construction is advancing rapidly, and the number of vehicles is growing quickly. But the basic researches on highway traffic flow characteristics relatively fall behind. Lacking reasonable parameters, models and analysis system adapt to our national situation has bad effects on the usage of traffic resources and cannot provide reference data to the decision-making departments. The thesis promotes a new intelligent traffic system, whose data of analysis system, precision of base data collected and traffic flow parameters are suitable to our national highway management system, have satisfied each requirement of our Intelligent Traffic System (ITS), and have reached the national top level.In the aspect of digital filtering, the thesis puts forward a wave crest-wave through filter method, which confirms a certain wave curve according to automatically search the crest and trough of a wave. The method ensures the correctness of filtering and the performance of our system.In the dynamic weighing aspect, the thesis deduces the conclusion that when the load passes the sensor with equal velocity, the sensor output is only relative to the total load and the velocity of load, while has no relation to the length and the inside distribution of the load. And the calculation equation of weighing the load is also given.In the aspect of vehicle model distinguishing, the thesis changes the popular international ACC code to the UDC code, which solves the problem of low precision of automatic vehicle model distinguishing.In the aspect of realization, the thesis based on the object-oriented design, designed the system framework using design patterns like Strategy, Facade, Singleton and so on. We have realized a developable embedded system with low coupling and high cohesion, which has been applied to a real project in Tian Jin, producing good scientific value and economic benefit.