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Research And Application Of Rfid Technology In The Intelligent Transportation Internet Of Things

Posted on:2013-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y GanFull Text:PDF
GTID:2232330374966506Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
With the social and economic development, the car ownership rising road trafficnetwork can not be unlimited broaden, and then the difficult situation of trafficmanagement. To adapt to the economic development, and solve the traffic congestion,traffic pollution problems, combined with the status quo-based IntelligentTransportation of Things key technologies to build an intelligent transportation ofThings Network System, under the guidance of such a system can be effective on theroad motor vehicles of the road network to carry out effective supervision can providea variety of real-time traffic information services will improve road transport services.To achieve resource sharing of traffic information and intelligent transportation ofThings platform to achieve "thing connected","car connected", etc, can through thesystem aware device-aware access to transport physical time.Research methods and techniques is the use of radio frequency identificationtechnology in the key technology of things that RFID technology proposed to use thetechnology to achieve non-contact automatic identification, can two-waycommunication was a bit applications in Intelligent Transportation System, in realtime from the road transport network access to transport attribute information toprovide a basis for the reliability of the decisive and traffic problems.Using existing sensor network/Internet of Things–perception Sensor RF912E2.0platform and RFID reader, RFID tags and the corresponding module application ofmicro-simulation traffic information collection and the establishment of the SQLdatabase as an information of electronic tags database, the electronic tag informationto create the SQL database information.
Keywords/Search Tags:traffic information collection, traffic information guidance, Radiofrequency identification, Intelligent transportation content networking
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