DocumentCode :
2451232
Title :
An Approach of Controlling Both Freeway On-ramp and Mainline
Author :
Jiang, Nan ; Tang, Shoupeng
Author_Institution :
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
683
Lastpage :
686
Abstract :
Considering that freeway mainline has not only high speed but also the ability to store large amount of vehicles, this research proposed a new approach for controlling both freeway on-ramp and mainline. Based on local ramp metering strategy ALINEA, this approach controls both on-ramp vehicles and mainline shoulder lane vehicles according to real-time traffic condition of the ramp and mainline so that to make good use of vehicle store capacity of mainline and at the same time reduce freeway travel time and ramp queue. Using simulation and comparison, the feasibility and effectiveness of this approach was proved.
Keywords :
road traffic; road vehicles; ALINEA local ramp metering strategy; freeway mainline control; freeway on-ramp vehicle control; real-time traffic condition; Artificial intelligence; Automotive engineering; Design engineering; Detectors; Intelligent vehicles; Logic design; Road vehicles; Shoulder; Traffic control; Transportation; ALINEA; mainline control; ramp metering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
Type :
conf
DOI :
10.1109/JCAI.2009.40
Filename :
5159095
Link To Document :
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