DocumentCode
2400641
Title
Framework of vehicle emission inspection and control through RFID and traffic lights
Author
Vong, Chi-Man ; Wong, Pak-Kin ; Ip, Weng-Fai
Author_Institution
Fac. of Sci. & Technol., Univ. of Macau, Macau, China
fYear
2011
fDate
8-10 June 2011
Firstpage
597
Lastpage
600
Abstract
Vehicle emissions including carbon monoxide (CO), hydrocarbons (HC), and nitrogen oxides (NOx) closely relate to air-ratio called lambda (λ) among all of the engine variables. Higher λ value indicates a significant amount of emissions harmful to our environment is produced and hence engine maintenance, particularly the catalytic converter, is necessary. Mandatory vehicle examination cannot be taken easily for each car, so it is difficult to enforce the vehicle owners on monitoring the health of their engines daily and taking immediate action to fix their vehicle emission problems. Traffic lights considered as “Things” through the concept of Internet of Things (IoT) can be applied because there are numerous traffic lights in an urban area. In addition, cars must stop on red lights so that reliable λ reading can be interrogated wirelessly through radio frequency identification (RFID). Simulation results show that the proposed application can effectively control and reduce vehicle emissions.
Keywords
air pollution control; air pollution measurement; automobiles; condition monitoring; engines; radiofrequency identification; RFID; car; carbon monoxide; catalytic converter; engine health monitoring; engine maintenance; hydrocarbons; mandatory vehicle examination; nitrogen oxides; radio frequency identification; traffic lights; vehicle emission control; vehicle emission inspection; Engines; Information systems; RFID tags; Servers; Vehicles; Wireless sensor networks; RFID; Vehicle Emission Inspection and Control;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science and Engineering (ICSSE), 2011 International Conference on
Conference_Location
Macao
Print_ISBN
978-1-61284-351-3
Electronic_ISBN
978-1-61284-472-5
Type
conf
DOI
10.1109/ICSSE.2011.5961973
Filename
5961973
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