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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

  • Czech description

Classification

  • 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)

Result continuities

  • Project

  • 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

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    3821-3826

  • Publisher name

    IEEE Xplore

  • Place of publication

  • Event location

    Indianapolis

  • Event date

    Sep 19, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article