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Advanced Optimization Method for Improving the Urban Traffic Management

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU118853" target="_blank" >RIV/00216305:26220/16:PU118853 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7561507" target="_blank" >https://ieeexplore.ieee.org/document/7561507</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/FRUCT-ISPIT.2016.7561507" target="_blank" >10.1109/FRUCT-ISPIT.2016.7561507</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced Optimization Method for Improving the Urban Traffic Management

  • Original language description

    The Smart City as a concept of future cities anticipates the smart and efficient traffic management. Current situation of traffic management did not offer a sufficient solution and it is not wise to use the current technology to improve the traffic situation on the city roads. This paper deals with advanced methods for optimization, the genetic algorithms, for using in urban traffic management. Implementation of genetic algorithm and also implementation of classical static solution were provided. We try to prove the advantages of modern optimization methods, which could bring more fluent traffic to the cities and solve the current challenges as i.e. high emissions, big delay, higher probability of accidents. The paper provides comparison measurements of static and dynamic solution in discrete time, discussion of the possible implementation in praxis and evaluation of the advantages and disadvantages for both methods.

  • 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/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • 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 the 18th FRUCT & ISPIT Conference, 18-22 April 2016, Technopark of ITMO University, Saint-Petersburg, Russia. FRUCT Oy, Finland.

  • ISBN

    978-952-68397-3-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    48-53

  • Publisher name

    Neuveden

  • Place of publication

    St. Petersburg

  • Event location

    St. Petersburg

  • Event date

    Apr 18, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389208900008