Improving the Scalability of Automated Planning-based Vehicle Routing via Smart Routes Identification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00368791" target="_blank" >RIV/68407700:21230/23:00368791 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/23:00368791

Result on the web

<a href="http://dx.doi.org/10.1109/MT-ITS56129.2023.10241639" target="_blank" >http://dx.doi.org/10.1109/MT-ITS56129.2023.10241639</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MT-ITS56129.2023.10241639" target="_blank" >10.1109/MT-ITS56129.2023.10241639</a>

Result language

angličtina

Original language name

Improving the Scalability of Automated Planning-based Vehicle Routing via Smart Routes Identification

Original language description

Due to growing urbanisation, traffic infrastructures have to accommodate increasing demands of traffic volume. One promising way for supporting a better exploitation of traffic networks is vehicle routing, that can distribute traffic from congested links to under utilised ones. Automated Planning techniques, a research field of Artificial Intelligence, have demonstrated to be a suitable approach for performing effective centralised traffic distribution. However, a main weakness of this class of approaches is the limited scalability to large and complex networks. In this paper, we aim to improve the scalability of automated planning techniques for urban traffic distribution by introducing an approach for the identification of routes to be considered. The proposed technique can significantly improve the planning capabilities by simplifying the complexity of the urban network to be considered, as demonstrated by our extensive experimental analysis performed on realistic traffic data on part of the New York and Sydney urban areas.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023

ISBN

978-1-6654-5530-5

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

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Publisher name

IEEE Computer Society

Place of publication

Los Alamitos

Event location

Nice

Event date

Jun 14, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001069745000045