DocumentCode
1894936
Title
Evaluation of Variable Speed Limit under Connected Vehicle environment
Author
Joyoung Lee ; Park, Byungkyu Brian
Author_Institution
Dept. of Civil & Environ. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
2013
fDate
2-6 Dec. 2013
Firstpage
966
Lastpage
967
Abstract
The Variable Speed Limit (VSL) application provides travelers with dynamic speed advisory information to keep optimal traffic flow conditions for freeways and corridors under both recurrent and non-recurrent congestion incurred by incidents and/or work-zones. By coupling VSL and Connected Vehicle (CV) environment enabling two-way wireless communications for vehicle-to-vehicle and vehicle-to-infrastructure, it is expected to achieve improved performance of VSL as a viable traffic congestion mitigation tool. This digest paper presents the impact of connected vehicle on the effectiveness of VSL on a freeway bottleneck section by using a microscopic simulation model. Simulation experimental results show that CV-powered VSL improves the traffic congestion conditions up to 7-12% depending on CV market penetration rates.
Keywords
air traffic control; traffic information systems; CV market penetration rates; CV-powered VSL performance improvement; connected vehicle environment; corridors; dynamic speed advisory information; freeway section; microscopic simulation model; nonrecurrent congestion; optimal traffic flow conditions; recurrent congestion; traffic congestion condition improvement; traffic congestion mitigation tool; two-way vehicle-to-infrastructure wireless communication; two-way vehicle-to-vehicle wireless communication; variable speed limit evaluation; Educational institutions; Performance evaluation; Software algorithms; Traffic control; Vehicle dynamics; Vehicles; Wireless communication; Active Traffic Management; Connected Vehicles;
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.2013.6799944
Filename
6799944
Link To Document