A Framework for Centralized Traffic Routing in Urban Areas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F24%3A00377249" target="_blank" >RIV/68407700:21730/24:00377249 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.24963/ijcai.2024/1038" target="_blank" >https://doi.org/10.24963/ijcai.2024/1038</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/ijcai.2024/1038" target="_blank" >10.24963/ijcai.2024/1038</a>
Alternative languages
Result language
angličtina
Original language name
A Framework for Centralized Traffic Routing in Urban Areas
Original language description
Dealing with the ever-increasing demand for traffic management is one of the main challenges of the 21st century. The issue is much more apparent in urban areas during rush hours. Traffic congestion causes economic losses due to delays and increased fuel consumption and, on top of that, is a major health risk. Intelligent centralized traffic routing is an important concept aiming at reducing traffic congestion in urban areas by more effectively utilizing road networks. In this demo, we present a framework that, in a nutshell, integrates techniques for intelligent centralized traffic routing into the well-known SUMO simulator, so these techniques can be evaluated in realistic settings on real/realistic datasets. In particular, the framework automatically identifies “problematic” urban regions by analyzing historical traffic data, then simplifies the road networks by precomputing promising routes (for each considered traffic flow), and finally, leverages a planning-based approach to generate routes. Our framework is evaluated on a real dataset from Dublin's metropolitan area.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 33rd International Joint Conference on Artificial Intelligence
ISBN
978-1-956792-04-1
ISSN
1045-0823
e-ISSN
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Number of pages
5
Pages from-to
8810-8814
Publisher name
International Joint Conferences on Artificial Intelligence Organization
Place of publication
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Event location
Jeju
Event date
Aug 3, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001347142808168