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Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00347195" target="_blank" >RIV/68407700:21230/20:00347195 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-64984-5_6" target="_blank" >https://doi.org/10.1007/978-3-030-64984-5_6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-64984-5_6" target="_blank" >10.1007/978-3-030-64984-5_6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reducing Traffic Congestion in Urban Areas via Real-Time Re-Routing: A Simulation Study

  • Original language description

    Traffic congestion problems of urban road networks are having a strong impact on economy, due to losses from accidents and delays, and to public health. The recent progress in connected vehicles is expanding the approaches that can be exploited to tackle traffic congestion, particularly in urban regions. Connected vehicles pave the way to centralised real-time re-routing, where a urban traffic controller can suggest alternative routes to be followed in order to reduce delays and mitigate congestion issues in the network. In this work, we introduce a centralised architecture and we compare in simulation a number of approaches that can be exploited for re-routing vehicles.

  • 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

    <a href="/en/project/GA18-07252S" target="_blank" >GA18-07252S: MoRePlan: Modeling and Reformulating Planning Problems</a><br>

  • Continuities

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

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    AI 2020: Advances in Artificial Intelligence

  • ISBN

    978-3-030-64983-8

  • ISSN

    0302-9743

  • e-ISSN

    0302-9743

  • Number of pages

    13

  • Pages from-to

    69-81

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Canberra

  • Event date

    Nov 29, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article