Effective Real-Time Urban Traffic Routing: An Automated Planning Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00352527" target="_blank" >RIV/68407700:21230/21:00352527 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/MT-ITS49943.2021.9529329" target="_blank" >https://doi.org/10.1109/MT-ITS49943.2021.9529329</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MT-ITS49943.2021.9529329" target="_blank" >10.1109/MT-ITS49943.2021.9529329</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Effective Real-Time Urban Traffic Routing: An Automated Planning Approach

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. In this context, the arrival of connected vehicles present a unique opportunity for a fundamental change in urban traffic control. Urban traffic control approaches should then take an active role in integrating connected vehicles into the mobility ecosystem in order to maximise benefits. To support such integration, in this work we propose to leverage automated planning, a well-studied branch of artificial intelligence, to perform real-time traffic routing in urban areas. We describe the proposed approach, and we demonstrate its effectiveness using real-world historical data of a UK town.

Název v anglickém jazyce

Effective Real-Time Urban Traffic Routing: An Automated Planning Approach

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. In this context, the arrival of connected vehicles present a unique opportunity for a fundamental change in urban traffic control. Urban traffic control approaches should then take an active role in integrating connected vehicles into the mobility ecosystem in order to maximise benefits. To support such integration, in this work we propose to leverage automated planning, a well-studied branch of artificial intelligence, to perform real-time traffic routing in urban areas. We describe the proposed approach, and we demonstrate its effectiveness using real-world historical data of a 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

<a href="/cs/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modelování a reformulace plánovacích problémů</a><br>

Návaznosti

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

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 7th International Conference on Models and Technologies for Intelligent Transportation Systems

ISBN

978-1-7281-8995-6

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

—

Název nakladatele

Institute of Electrical and Electronics Engineers, Inc.

Místo vydání

—

Místo konání akce

Vitual conference

Datum konání akce

16. 6. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000706846900068