Cities across the world suffer significantly from traffic congestion. Governments are trying to harness the power of today's computing, networking, and communication technologies to build system that can improve the efficiency of current road traffic and conditions. The study investigated the purpose efficiencies of intelligent system to assess their performance. Considering the findings, it can be said that traffic flow forecasting (TFF) possibilities are numerous, involve a variety of technologies, and can significantly reduce most traffic issues in smart cities. The studies were later evaluated to find similarities, content, benefits, and disadvantages of traffic congestion. By applying the project management tools such as the performance metrics and SQERT model were used to evaluate and prioritize the state-of-the-art methods. A classical model was proposed to improve upon and determine the traffic dangers that affect road users and aggregate the information about traffic from vehicles, traffic lights, and roadside sensors. These on-road sensors (ORS) performance are used for analyses such are vehicle classification, speed calculations, and vehicle counts.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adoption of Smart Traffic System to Reduce Traffic Congestion in a Smart City


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Motahhir, Saad (Herausgeber:in) / Bossoufi, Badre (Herausgeber:in) / Aroba, Oluwasegun Julius (Autor:in) / Mabuza, Phumla (Autor:in) / Mabaso, Andile (Autor:in) / Sibisi, Phethokuhle (Autor:in)

    Kongress:

    International Conference on Digital Technologies and Applications ; 2023 ; Fez, Morocco January 27, 2023 - January 28, 2023



    Erscheinungsdatum :

    2023-04-29


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Smart Parking System to Reduce Traffic Congestion

    Kazi, Sanam / Nuzhat, Shirgaonkar / Nashrah, Ansari et al. | IEEE | 2018


    Smart Traffic Congestion Control System

    Balu, Shibin / Priyadharsini., C | IEEE | 2019


    Smart Traffic Control System for Decreasing Traffic Congestion

    Boudaakat, Sidina / Rebbani, Ahmed / Bouattane, Omar | IEEE | 2019


    CITY PLANNING TO REDUCE TRAFFIC CONGESTION

    Newton, L. V. | SAE Technical Papers | 1937


    Smart traffic management system for smart city

    YE QINFA / TANG QING / ZHU WANRONG | Europäisches Patentamt | 2023

    Freier Zugriff