| With the increase of urban rail transit passenger volume,the traffic pressure is more and more big,nowadays,the rapid development of Internet of things technology can provide a new way to solve the problem of rail transit.RFID(Radio Frequency Identification)is one of the automatic identification technology about Internet of things,which is proverbially applied to intelligent transportation,intelligent storage,intelligent control and other fields based on the Internet of things,owing to its fast recognition and the big recognition distance,strong real-time,carrying a large amount of data and other characteristics.This paper puts forward the design of intelligent rail transit ticketing system based on RFID technology.Firstly,the Internet of things,RFID technology and intelligent transportation are introduced in detail.After that,RFID technology is applied to the field of rail transportation,and the intelligent rail transit ticketing system based on RFID technology is designed.This system is mainly composed of the labels embedded with RFID,entry system,mileage recording system and outbound system.Joining with the database,which can charge by real mileage to more perfect rationality of rail transit fees.Change entrance payment to export payment,which can leave out the choice about site information and provide convenience for temporary passengers.Combine Microsoft Visual Studio 2010 with SQL Server 2008,the ticketing inquiry system is designed and applied.Secondly,the problem of tag collision is encountered inevitably because of a lot of passengers in the traffic system,which can affect the efficiency of the design system,through comparison and study on basic tag anti-collision algorithm,this paper provides a new tag anti-collision algorithm,which has more higher the handling capacity and more faster the overall efficiency of tag identification,this new algorithm is an improvement to the dynamic frame slot ALOHA algorithm which bring in multiple groups pre-response encoding sequence.Then,through the MATLAB simulation analysis of the dynamic frame slot ALOHA algorithm which bring in three groups pre-response encoding sequence is the best choice of the system.The improved tag anti-collision algorithm not only satisfies theperformance requirements of the system,but also does not make the system and hardware structure more complex.Finally,the dynamic frame slot ALOHA algorithm which bring in three groups pre-response encoding sequence is system applied to the intelligent rail transportation system of this paper designed,which can make the reader identify information of all the passengers faster and more accurately,and improve the operating efficiency of the rail system more effectively,and it is convenient for people to travel,so that the whole intelligent rail transportation system more practical. |