Design And Implementation Of Urban Rail Transport Traffic Characteristics Analysis System Based On Internet Of Things

With the rapid development of city modernization, urban rail transport is gradually entering the era of network operation. While significantly enhances traffic capacity and travel convenience, it also brings new problems and challenges to operation scheduling. Under network operation and "seamless transfer" conditions, the passenger route is more diversified, and the imbalance of traffic distribution in time and space is more highlighted. on the one hand, this will form periodic traffic congestion phenomenon, increase operation safety risks; on the other hand, it can also cause unable to make full use of rail transport capacity, reduce network operation efficiency. So in-depth analysis from the perspectives of operation data on urban rail transport traffic characteristics, will help to accurately grasp the network traffic rule and the operation deployment, and also provide the reference for network traffic forecast and so on.For the problems mentioned above, this article takes trading data collected from the Beijing Metro AFC system and historical traffic statistics provided by the Beijing Subway TCC system as samples, combined with Beijing rail train diagram, design and implement the urban rail transport traffic characteristics analysis system based on Internet of Things. Firstly making a review on the current research status of Internet of Things and traffic characteristic analysis at home and abroad, explaining the research focus of work. Then introducing urban rail transport traffic forecast method, Internet of things technology, and genetic programming, to pave the theory foundation for system design and implementation. Secondly performing system overall design from logical architecture, functional architecture and physical architecture of the three aspects, and launching system detailed design from the following several aspects, including data collection, data preparation, traffic statistics, traffic analysis, traffic show and traffic real-time forecast, among them, mainly discussing the research process of forecasting by introducing Genetic Programming. Finally achieving the main software module in system through the B/S development model build on J2EE technology platform, and the paper is summarized and prospected.