A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352530" target="_blank" >RIV/68407700:21230/21:00352530 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ITSC48978.2021.9564838" target="_blank" >https://doi.org/10.1109/ITSC48978.2021.9564838</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITSC48978.2021.9564838" target="_blank" >10.1109/ITSC48978.2021.9564838</a>
Alternative languages
Result language
angličtina
Original language name
A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles
Original language description
One of the pivotal challenges presented to urban road traffic controllers is the effective utilisation of transport infrastructure, as a result of growing urbanisation, the finite network capacity, and of the increasing number of road vehicles. The arrival of connected autonomous vehicles (CAVs) represents a unique opportunity for a fundamental change in urban mobility, and urban traffic control should take an active role in integrating CAVs into the mobility ecosystem in order to maximise benefits. A practical way to exploit CAVs for urban traffic control is to build an intelligent control mechanism that can distribute traffic in the controlled region. In this context, automated planning, a well-studied Artificial Intelligence topic, can provide techniques to dynamically generate plans to distribute traffic -thus maximising the network utilisation and reduce congestion. In this paper, we present an approach based on hybrid discrete continuous planning, and we demonstrate its impact using real-world historical data of a large UK town.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
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 2021 IEEE International Intelligent Transportation Systems Conference
ISBN
978-1-7281-9142-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
3821-3826
Publisher name
IEEE Xplore
Place of publication
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Event location
Indianapolis
Event date
Sep 19, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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