Analysing Routes Generated by Planning-based Centralised Traffic Routing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00384688" target="_blank" >RIV/68407700:21230/25:00384688 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/25:00384688
Result on the web
<a href="https://doi.org/10.32473/flairs.38.1.138872" target="_blank" >https://doi.org/10.32473/flairs.38.1.138872</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32473/flairs.38.1.138872" target="_blank" >10.32473/flairs.38.1.138872</a>
Alternative languages
Result language
angličtina
Original language name
Analysing Routes Generated by Planning-based Centralised Traffic Routing
Original language description
Centralised Traffic Routing offers a global perspective of the entire region, enabling effective route finding for vehicles that navigate through the region. Recently, automated planning techniques were leveraged for centralised traffic routing. However, centralised routing techniques might generate different routes for vehicles even if they share the same origin and destination and arrive at a similar time. Also, centralised routing techniques are usually computationally demanding. In this paper, we analyse the outputs of a planning-based centralised traffic routing method in terms of the number of different routes per journey, differences between traveled distance, and travel time among these (different) routes. Then, we propose a method that leverages the found routes and their relative distribution to vehicles for an online centralised 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
<a href="/en/project/GA23-05575S" target="_blank" >GA23-05575S: Urban Traffic Control by Means of Automated Planning</a><br>
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
Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
ISBN
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ISSN
2334-0754
e-ISSN
2334-0762
Number of pages
5
Pages from-to
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Publisher name
LibraryPress@UF
Place of publication
Florida
Event location
Daytona Beach, Florida
Event date
May 20, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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