Centralised Urban Traffic Routing Using Mixed-Integer Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384686" target="_blank" >RIV/68407700:21230/25:00384686 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00384686
Result on the web
<a href="http://hdl.handle.net/10467/127454" target="_blank" >http://hdl.handle.net/10467/127454</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0013137100003890" target="_blank" >10.5220/0013137100003890</a>
Alternative languages
Result language
angličtina
Original language name
Centralised Urban Traffic Routing Using Mixed-Integer Programming
Original language description
The increase in the urban population over the past decades led to an increase in the number of vehicles in urban road networks, especially in larger metropolitan areas. The problem is exacerbated during rush hours and when an unexpected or rare event occurs (e.g. accidents, concerts). Existing traffic routing methods, including those embedded in modern navigation systems, consider Dynamic User Optimal (DUO) traffic routing that generates routes in a decentralised fashion. Centralized traffic routing, which we consider in this paper, benefits from the global perspective of the situation that can utilise the road network more effectively. We propose a technique leveraging Mixed-Integer Programming (MIP) for distributing vehicles in the road network while minimizing traffic intensity on road segments. Our evaluation shows the potential of the proposed technique for centralized traffic routing.
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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th International Conference on Agents and Artificial Intelligence, ICAART 2025
ISBN
978-989-758-737-5
ISSN
2184-3589
e-ISSN
2184-433X
Number of pages
12
Pages from-to
176-187
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Porto
Event date
Feb 23, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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