DocumentCode :
1891839
Title :
Accelerating the adoption of Virtual Traffic Lights through policy decisions
Author :
Viriyasitavat, Wantanee ; Roldan, Juan ; Tonguz, Ozan
Author_Institution :
Fac. of Inf. & Commun. Technol., Mahidol Univ., Bangkok, Thailand
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
443
Lastpage :
444
Abstract :
A new technology known as Virtual Traffic Lights (VTL) was recently proposed as a self-organizing new paradigm for traffic management. This new technology uses the vehicle-to-vehicle (V2V) communications as its premise. VTL can revolutionize traffic management in urban areas as it can substantially reduce commute time of urban workers, increase productivity, and lead to a greener environment. In a VTL environment, vehicles self-organize to elect a leader which serves as a virtual traffic light to decide the right of way at that intersection, thus replacing the current physical traffic lights. Implementing VTL technology with partial penetration, however, is an outstanding issue that needs to be addressed. This paper addresses this issue by proposing a co-existence model whereby VTL equipped vehicles can co-exist with vehicles that do not have VTL. Simulation results show that the transition model proposed here could provide drivers with strong incentives to adopt the VTL technology.
Keywords :
productivity; road traffic; road vehicles; traffic engineering computing; virtual reality; V2V communication; VTL equipped vehicles; VTL technology; coexistence model; current physical traffic light; greener environment; policy decisions; productivity; self-organizing new paradigm; traffic management; urban worker; vehicle-to-vehicle communication; virtual traffic lights; Color; Educational institutions; Green products; Roads; Simulation; Traffic control; Vehicles; intelligent transportation systems; vehicle-to-vehicle communications; virtual traffic lights;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799833
Filename :
6799833
Link To Document :
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