COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F15%3A00233352" target="_blank" >RIV/68407700:21260/15:00233352 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.7307/ptt.v27i5.1667" target="_blank" >http://dx.doi.org/10.7307/ptt.v27i5.1667</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7307/ptt.v27i5.1667" target="_blank" >10.7307/ptt.v27i5.1667</a>
Alternative languages
Result language
angličtina
Original language name
COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW
Original language description
Highway management systems are used to improve safety and driving comfort on highways by using control strategies and providing information and warnings to drivers. They use several strategies starting from speed and lane management, through incident detection and warning systems, ramp metering, weather information up to, for example, informing drivers about alternative roads. This paper provides a review of the existing approaches to highway management systems, particularly speed harmonization and rampmetering. It is focused only on modern and advanced approaches, such as soft computing, multi-agent methods and their interconnection. Its objective is to provide guidance in the wide field of highway management and to point out the most relevant recentactivities which demonstrate that development in the field of highway management is still important and that the existing research exhibits potential for further enhancement.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AP - Municipal, regional and transportation planning
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PROMET - Traffic&Transportation
ISSN
0353-5320
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
5
Country of publishing house
HR - CROATIA
Number of pages
12
Pages from-to
439-450
UT code for WoS article
000365248600008
EID of the result in the Scopus database
2-s2.0-84954569638