DocumentCode :
3612307
Title :
Connected Vehicles Make Transportation Faster, Safer, Smarter, and Greener!
Author :
Yuguang Fang
Volume :
64
Issue :
12
fYear :
2015
Firstpage :
5409
Lastpage :
5410
Abstract :
SINCE the U.S. Department of Transportation issued a mandate for car makers to enable connected vehicle (CV) technology for a safe driving experience in 2012, tremendous interest in CVs has reemerged. CVs refer to the enabling technologies to connect vehicles inside and outside their operational environments to improve safe driving, congestion control, air pollution reduction, energy savings, etc. Although research activities on CVs have attracted intensive attention under the umbrella of vehicle ad hoc networks and intelligent transportation systems (ITSs), most research outcomes are still limited to theory and are far from practicality. With the mandate, together with various kinds of sensing and learning capabilities, CVs can potentially form reliable and sustainable intelligence harvesting networks to collect various kinds of information related to driving conditions and road traffic situations, conduct effective data analysis, and then take proactive actions for a safe driving experience. Hence, CVs hold high promise for future ITSs that impact people´s lives.
Keywords :
air pollution control; energy conservation; energy harvesting; intelligent transportation systems; road safety; road traffic; sustainable development; telecommunication network reliability; telecommunication power management; vehicular ad hoc networks; ITS; U.S. Department of Transportation; air pollution reduction improvement; congestion control improvement; connected vehicle technology; data analysis; driving conditions; energy saving improvement; faster transportation; greener transportation; intelligent transportation system; operational environment; reliable intelligence harvesting network; road traffic situations; safe driving; safe driving improvement; safer transportation; smarter transportation; sustainable intelligence harvesting network; vehicle ad hoc network; Air pollution; Artificial intelligence; Connected vehicles; Data privacy; Intelligent vehicles; Sensors;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2015.2501658
Filename :
7355491
Link To Document :
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