Centralised Vehicle Routing for Optimising Urban Traffic: A Scalability Perspective
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00369489" target="_blank" >RIV/68407700:21730/23:00369489 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IV55152.2023.10186707" target="_blank" >http://dx.doi.org/10.1109/IV55152.2023.10186707</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IV55152.2023.10186707" target="_blank" >10.1109/IV55152.2023.10186707</a>
Alternative languages
Result language
angličtina
Original language name
Centralised Vehicle Routing for Optimising Urban Traffic: A Scalability Perspective
Original language description
In the light of revolutionary technologies such as connected autonomous vehicles, centralised vehicle (or traffic) routing is attracting a growing interest as an effective method to tackle traffic congestion in urban areas, which causes enormous economic losses. Whereas potential benefits of centralised vehicle routing techniques are huge, they are not yet mature enough to be deployed in (large) urban areas. The major issue preventing their deployment being the lack of scalability. This position paper provides an all encompassing discussion around how the scalability issue for centralised vehicle (traffic) routing approaches might be addressed. In particular, we elaborate on how the model of the environment (the road network and the traffic) can be reasonably abstracted to allow simplified yet meaningful reasoning. Then, we provide an overview of relevant classes of decision-making techniques and elaborate how they can be applied to tackle the problem. At the end, we present our perspective on how different types of decision-making techniques can be effectively combined such that they can deal with the scalability issue while maintaining reasonable quality of assigned routes.
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
2023
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 2023 IEEE Intelligent Vehicles Symposium (IV)
ISBN
979-8-3503-4691-6
ISSN
1931-0587
e-ISSN
2642-7214
Number of pages
6
Pages from-to
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Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
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Event location
Anchorage
Event date
Jun 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001042247300160