This paper aims to develop a convenient traffic system that allows a smooth movement of cars which will help build a smarter city. The traffic system currently implemented in many areas is not based on the density of traffic and every road is allotted a preset time. This results in traffic congestion due to large red-light delays and timings allotted for roads in a city that should vary during peak on-off hours, but in reality don't. These traditional systems are not adaptable and fail to support traffic during an unexpected situation or during an accident, and this makes them inefficient. In order to calculate the density of traffic various sensors can be used, each having their merits and demerits. In our proposed system Ultrasound Sensors are used along with Image Processing(using live feed from a camera) that works on a Raspberry Pi platform and calculates the vehicle density and dynamically allots time for different levels of traffic. This in turn allows better signal control and effective management of traffic thereby reducing the probability of a collision. By using Internet Of Things(IoT) real time data from the system can be collected, stored and managed on a cloud. This data can be used to interpret the signal duration in-case any of the sensing equipment fail, and also for future analysis.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Density Based Smart Traffic System with Real Time Data Analysis Using IoT


    Contributors:


    Publication date :

    2018-03-01


    Size :

    2592187 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Density Based Real-time Smart Traffic Management System along with Emergency Vehicle Detection for Smart Cities

    R.G, Sangeetha / C, Hemanth / Dipesh, Roshan et al. | Springer Verlag | 2024


    Density Based Real-time Smart Traffic Management System along with Emergency Vehicle Detection for Smart Cities

    R.G, Sangeetha / C, Hemanth / Dipesh, Roshan et al. | Springer Verlag | 2024



    REAL-TIME TRAFFIC MANAGEMENT USING SMART TRAFFIC SIGNALS

    CHOPADE VISHAL G / DAOUD MOHAMED / HEIKAL HANY A | European Patent Office | 2025

    Free access