Title :
Traffic control and intelligent vehicle highway systems: a survey
Author :
Baskar, L.D. ; De Schutter, Bart ; Hellendoorn, J. ; Papp, Z.
Author_Institution :
Delft Center for Syst. & Control, Delft Univ. of Technol., Delft, Netherlands
fDate :
3/1/2011 12:00:00 AM
Abstract :
Traffic congestion in highway networks is one of the main issues to be addressed by today´s traffic management schemes. Automation combined with the increasing market penetration of on-line communication, navigation and advanced driver assistance systems will ultimately result in intelligent vehicle highway systems (IVHS) that distribute intelligence between roadside infrastructure and vehicles and that - in particular on the longer term - are one of the most promising solutions to the traffic congestion problem. In this study, the authors present a survey on traffic management and control frameworks for IVHS. First, they give a short overview of the main currently used traffic control methods for freeways. Next, they discuss IVHS-based traffic control measures. Then, various traffic management architectures for IVHS such as PATH, Dolphin, Auto21 CDS etc. are discussed and a comparison of the various frameworks is presented. Finally, the authors sketch how existing traffic control methodologies could fit in an IVHS-based traffic control set-up.
Keywords :
automated highways; traffic engineering computing; IVHS; intelligent vehicle highway systems; traffic congestion problem; traffic control methods; traffic management schemes;
Journal_Title :
Intelligent Transport Systems, IET
DOI :
10.1049/iet-its.2009.0001