The Reseach Of Tunnel Traffic Mining In Big Data

With the rapid development of tunnel and bridge engineering and the highway construction speed, China has longer highway mileage, tunnels and bridges than any other countries in traffic field which also puts forward new requirements on tunnel traffic security management. Our subject group on the highway tunnel lighting energy-saving control system based on machine Visual Technology to control the lighting lamp group of open or shut and the brightness information.The video information contains tunnel node, and lane image, and speed, and license plate, and models and so on information.Tunnel traffic is the important part of highway traffic, indispensable unit of intelligent traffic and could speed up the development of intelligent traffic.This paper based on the research of tunnel traffic information management for pre exploration of intelligent traffic.The data of traditional tunnel monitoring system is stored by pictures, video, and the other large amount and different formats of data.It is difficult for people to analyze and use. Now, the technology of big data provides an effective solution. Our group used to implement intelligent control of tunnel lighting by machine vision which triggered by image processing control information at the same time and stored large amount of the characteristics of information. Because the character data is extracted, so the amount will not be reduced and the data storage space is significantly reduced.Through data mining techniques to obtain traffic data can be serviced on intelligent transportation which has broad application prospects.Thispaper briefly data mining of basic theory, the tunnel traffic of research status and the development of data mining in traffic field which do the theory bedding for the research of tunnel traffic information in data mining. Then analyzes the data flow sources and characteristics of tunnel traffic data and briefly discusses the format and type of data flow of the tunnels.Then introduced the built processof the big data platform and researched tunnel traffic data based on Hadoop technology and analysis system.Mainly include the system schema, data acquisition and pretreatment process. Study on effective methods of information extraction based on Map-Reduce and using data mining method for tunnel traffic congestion forecast. Thentake experiments and achieved the desired results through data mining.