A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 2021 IEEE International Intelligent Transportation Systems Conference

ISBN

978-1-7281-9142-3

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

3821-3826

Název nakladatele

IEEE Xplore

Místo vydání

—

Místo konání akce

Indianapolis

Datum konání akce

19. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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