COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
COMPUTATIONAL INTELLIGENCE IN HIGHWAY MANAGEMENT: A REVIEW
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
AP - Městské, oblastní a dopravní plánování
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
PROMET - Traffic&Transportation
ISSN
0353-5320
e-ISSN
—
Svazek periodika
27
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
HR - Chorvatská republika
Počet stran výsledku
12
Strana od-do
439-450
Kód UT WoS článku
000365248600008
EID výsledku v databázi Scopus
2-s2.0-84954569638