Towards a Framework for Intelligent Urban Traffic Routing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00368786" target="_blank" >RIV/68407700:21730/23:00368786 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.32473/flairs.36.133321" target="_blank" >http://dx.doi.org/10.32473/flairs.36.133321</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.32473/flairs.36.133321" target="_blank" >10.32473/flairs.36.133321</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards a Framework for Intelligent Urban Traffic Routing

Popis výsledku v původním jazyce

Intelligent traffic routing is one of the key techniques that can be used to optimise traffic, especially in urban areas. Deliberative reasoning techniques such as Automated Planning have shown their potential since they can take a global and longer-term perspective on the traffic situations. Such techniques have to be embedded in a urban traffic control framework such that they can generate and assign routes to the vehicles on the fly while considering the current traffic situation in the area. This paper presents an ongoing work on a framework that, in a nutshell, integrates an automated planning component, responsible for intelligent traffic routing, in the well known SUMO simulator in order to evaluate and study its impact in realistic traffic settings. In particular, the framework has to simplify the representation of the road network provided by SUMO, translate it into PDDL, a language for describing planning problems, and then interpret plans and fed them in form of vehicle routes into SUMO.

Název v anglickém jazyce

Towards a Framework for Intelligent Urban Traffic Routing

Popis výsledku anglicky

Intelligent traffic routing is one of the key techniques that can be used to optimise traffic, especially in urban areas. Deliberative reasoning techniques such as Automated Planning have shown their potential since they can take a global and longer-term perspective on the traffic situations. Such techniques have to be embedded in a urban traffic control framework such that they can generate and assign routes to the vehicles on the fly while considering the current traffic situation in the area. This paper presents an ongoing work on a framework that, in a nutshell, integrates an automated planning component, responsible for intelligent traffic routing, in the well known SUMO simulator in order to evaluate and study its impact in realistic traffic settings. In particular, the framework has to simplify the representation of the road network provided by SUMO, translate it into PDDL, a language for describing planning problems, and then interpret plans and fed them in form of vehicle routes into SUMO.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2023

ISBN

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ISSN

2334-0762

e-ISSN

2334-0754

Počet stran výsledku

6

Strana od-do

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Název nakladatele

The Florida Artificial Intelligence Research Society (FLAIRS)

Místo vydání

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Místo konání akce

Clearwater Beach, FL

Datum konání akce

14. 5. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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