(Created page with " == 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 increasin...")
 
m (Scipediacontent moved page Draft Content 576291115 to Papp et al 2011a)
 
(No difference)

Latest revision as of 12:38, 16 February 2021

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. © 2011 The Institution of Engineering and Technology.


Original document

The different versions of the original document can be found in:

https://ieeexplore.ieee.org/document/5721768,
https://trid.trb.org/view/1100585,
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005721768,
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000005721768,
https://core.ac.uk/display/23522253,
https://repository.tudelft.nl/view/tno/uuid%3A9a268e24-f497-407b-97c6-855996d34f11,
https://www.narcis.nl/publication/RecordID/oai%3Atudelft.nl%3Auuid%3A9a268e24-f497-407b-97c6-855996d34f11,
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5721768,
https://academic.microsoft.com/#/detail/2149136412
http://dx.doi.org/10.1049/iet-its.2009.0001
Back to Top

Document information

Published on 01/01/2011

Volume 2011, 2011
DOI: 10.1049/iet-its.2009.0001
Licence: CC BY-NC-SA license

Document Score

0

Views 18
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?