This study introduces the Smart Traffic Management System (STMS), which by combining cutting-xedge technologies and extensive data sources, has the potential to completely transform urban transportation. The goal of this strategy is to build a more resilient and effective urban infrastructure that tackles the various issues brought on by growing traffic congestion. One of the most important elements affecting traffic flow is the traffic controller. To meet the increasing demand, traffic control systems urgently need to be optimized. An urgent issue, traffic congestion is made worse by cities’ expanding populations and growing car populations. In addition to causing traffic jams and driver stress, it significantly raises fuel consumption and air pollution levels. Megacities are particularly affected by this issue, and its persistent nature necessitates real-time road traffic density calculations for improved signal control and efficient traffic management. Furthermore, considering factors such as pedestrian flow and public transportation routes is crucial. These elements significantly influence traffic patterns and need to be seamlessly integrated into the overall traffic management system. By incorporating pedestrian and public transportation data, the system can provide comprehensive solutions that cater to the diverse mobility needs of the urban population. Our proposed solution leverages live feeds from traffic junction cameras, employing advanced image processing and AI techniques to accurately assess traffic density. The system also focuses on developing an algorithm that dynamically adjusts traffic lights based on vehicle density, aiming to alleviate congestion, provide swifter transit for commuters, and mitigate pollution levels.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Smart Traffic Management System


    Beteiligte:
    Sateesh, Rayala (Autor:in) / Kumar, Manoj (Autor:in) / Venu, P (Autor:in) / Shanagapati, Varun (Autor:in)


    Erscheinungsdatum :

    25.10.2024


    Format / Umfang :

    1132325 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Smart traffic management system for smart city

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

    Freier Zugriff

    A SMART TRAFFIC MANAGEMENT SYSTEM

    MUSHREF HASAN ESSAM | Europäisches Patentamt | 2021

    Freier Zugriff

    Smart city traffic management system

    Europäisches Patentamt | 2025

    Freier Zugriff

    Simple Smart Traffic Management System

    Achunin, Kelechi / Abubakar, Zaid Maina / Bashir, Umar Mohammed et al. | IEEE | 2023


    SMART TRAFFIC MANAGEMENT

    KHOSLA ABHA / SHUMAN MOHAMMED ATAUR RAHMAN / DAS SOUMYA et al. | Europäisches Patentamt | 2024

    Freier Zugriff