Exploiting Automated Planning for Efficient Centralized Vehicle Routing and Mitigating Congestion in Urban Road Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10408242" target="_blank" >RIV/00216208:11320/19:10408242 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00334353
Result on the web
<a href="https://doi.org/10.1145/3297280.3297539" target="_blank" >https://doi.org/10.1145/3297280.3297539</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3297280.3297539" target="_blank" >10.1145/3297280.3297539</a>
Alternative languages
Result language
angličtina
Original language name
Exploiting Automated Planning for Efficient Centralized Vehicle Routing and Mitigating Congestion in Urban Road Networks
Original language description
One of the pivotal challenges presented to urban traffic controllers is the effective utilization of the transport infrastructure, as a result of the growing urbanization and of the increasing number of vehicles. In response to this challenge, here we investigate the use of Automated Planning for reducing congestion and maximizing the exploitation of urban networks, by generating routes for the vehicles navigating through the controlled region. Empirical analysis is performed on four case studies (including maps of actual UK urban areas) with different complexities and volume of vehicles. The results demonstrate the potential of the presented approach, leading towards an intelligent navigation system, which shows to be able to provide effective personalized directions to vehicles.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50803 - Information science (social aspects)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING
ISBN
978-1-4503-5933-7
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
191-194
Publisher name
ASSOC COMPUTING MACHINERY
Place of publication
NEW YORK
Event location
Limassol, Cyprus
Event date
Apr 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000474685800026