Smart traffic control for emergency vehicles using Internet of Things and Image Processing Abstract Due to the rapid increase in the population, more traffic on the roads has become a common problem in the present times. As the traffic increases on the roads, it creates hindrances for emergency vehicles like ambulances, police cars and fire brigades. The minimization of the travel time delay which arises due to the traffic for these emergency vehicles is the utmost necessity at this time. As uncovered by the National Institute of Emergency Medicine (NIEM), around 20% of patients requiring crisis treatment have passed on their way to the clinic due to delays because of gridlock and uncooperative drivers. To reduce the concerning proportion of such deaths, some countries opted for a separate lane system for emergency vehicles but all the countries cannot be benefited by the same solution. Some countries are populated exponentially, that despite having certain facilities, emergency vehicles cannot reach the desired location on time. The most fitting answer for the blockage issue is letting the clogged sides cross the convergence first. The thought incorporates finding the ideal way for the crisis vehicle from source to objective in the ongoing rush hour gridlock issue utilizing Dijkstra's Algorithm on the weighted diagram of continuous traffic information. The model further uses the Internet of Things and Digital Image Processing to make it work more conveniently. Here, is suggested a smart traffic control system which consists of adding IoT chips to traffic signals to modify the timer settings. These chips will work according to the resultant vector of the count of vehicles in a particular path with the need for emergency vehicles in that path. The count of the vehicles is to be calculated with the help of digital image processing of the live camera feed. The emergency vehicles are to be tracked by connecting them with the GPS and updating their location to the chips so that emergency vehicles can be prioritized. The traffic lights are supposed to work on the network of roads with the dynamic allocation of weights for one particular node i.e. between two consecutive traffic lights. The weight allocation of one particular node is to be updated globally on the network so that the track of all the nodes can be done in the real-time. Emergency Vehicle with Surveillance Tracker camera [L~a e 31Image Acquisitio Image Cropping Changesgeime ~Backracker Accordin tohheeshldn Priority Queue T IOT Relay Filtering Contour Priority Queue, contains the order in which the traffic light is to be changed at a particular junction lining Queue e Emergency ,le Tracker


    Access

    Download


    Export, share and cite



    Title :

    SMART TRAFFIC CONTROL FOR EMERGENCY VEHICLES USING INTERNET OF THINGS AND IMAGE PROCESSING



    Publication date :

    2021-03-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Smart Traffic Control for Emergency Vehicles Using the Internet of Things and Image Processing

    Srivastava, Sandesh Kumar / Singh, Anshul / Khanam, Ruqaiya et al. | Springer Verlag | 2021


    Smart Traffic Control for Emergency Vehicles Prioritization using Video and Audio Processing

    Raj, V Sowbaranic / Sai, Jalakam Venu Madhava / Yogesh, N A Lakkshmi et al. | IEEE | 2022


    Smart Intelligent Traffic Control System for Emergency Vehicles

    Ratna Kumar, R. V. S. / Reshma, S. / Shalini, K. et al. | IEEE | 2024


    AI Powered Smart Traffic Control System for Emergency Vehicles

    Kumar, Vedant / Kumar, Siddhant / Sreekar, L. et al. | Springer Verlag | 2021


    RFID-Based Smart Traffic Control Framework for Emergency Vehicles

    Naik, Tejas / Roopalakshmi, R. / Divya Ravi, N. et al. | IEEE | 2018