Design And Implementation Of A Vehicle Track Judgment System Based On Bayonet Monitoring Data

In recent years,with the rapid social economic development,the number of motor vehicles in China is also constantly rising and now ranks first in the world.Accompanied by the sudden increase of traffic pressure,various illegal behaviors such as motor vehicle accidental escaping,kidnapping,no license vehicles,etc.occur from time to time.However,the traffic police force is seriously under-developed,causing the problem of road safety to become more and more serious.How to solve the problem of traffic safety has become the primary problem for the traffic department,the bayonet system is an important way to solve such problems.However,with the constant innovation of front-end equipment,bayonet system data show an explosive growth.The traditional bayonet monitoring system can not meet the demand.The system is a vehicle trajectory decision system based on bayonet system data using B / S structure,and the key technologies required by the system have been discussed,including data mining,Map API,Spring MVC and Hibernate technologies.Analysis and processing of the massive bayonet monitoring data is the most important thing,in order to solve the problem,the system selects Spring Tool and Oracle 11 g as the development environment,and uses data mining technology to filter the data.According to the principles and methods of software engineering design,the system needs analysis first,use UML object-oriented modeling technology,give the system use case diagram,finally,complete the system design and implementation.Then dividing the system into five main modules: vehicle information inquiry and trajectory determination,traffic flow statistics,blacklist vehicle management,vehicle detection and deck vehicle detection.By analyzing and processing the bayonet monitoring data,the system realizes the detailed information querying the passing vehicles and at the same time determines the driving track of the vehicles and displays them on the map.By using the data mining idea,the system excavated the hidden information of the bayonet monitoring data and greatly improved the efficiency of the work and management of the transportation supervisory department,which provided good support for its decision-making and had very important practical significance for curbing the criminal activities.