Keywords
visual sensing, Wi-Fi modules, ESP module, QR code, and traffic management for emergency vehicles.
Abstract
In cities, emergency response times might be delayed, which has major repercussions, making traffic control for these vehicles a crucial concern. In this study, we present a system for controlling emergency vehicle traffic at two intersections using Wi-Fi modules, cameras, LED traffic lights, QR codes, buzzers, and visual sensors. As a result, they can get to their location swiftly and effectively. The system is set up to give emergency vehicles priority. On the emergency car at the first intersection is a QR code. A camera placed at the intersection scans the QR code and signals the ESP module by sending a signal. When the emergency vehicle is approaching, the ESP module activates the buzzer to alert other drivers to halt. Additionally, to make room for the emergency vehicle, the LEDs turn green.
An ESP module from the first junction is connected to a Wi-Fi module positioned at the second junction. The second junction's traffic signal turns red automatically when the emergency vehicle is detected by the system, allowing it to pass through without being delayed. A practical and affordable alternative for managing traffic for emergency vehicles is offered by the suggested system. Emergency vehicles are quickly and precisely identified thanks to the utilisation of ocular sensing, Wi-Fi modules, and QR codes. Throughout the whole route, emergency vehicles can be given precedence thanks to the system's ability to communicate across junctions.
Key words: visual sensing, Wi-Fi modules, ESP module, QR code, and traffic management for emergency vehicles.
In cities, emergency response times might be delayed, which has major repercussions, making traffic control for these vehicles a crucial concern. In this study, we present a system for controlling emergency vehicle traffic at two intersections using Wi-Fi modules, cameras, LED traffic lights, QR codes, buzzers, and visual sensors. As a result, they can get to their location swiftly and effectively. The system is set up to give emergency vehicles priority. On the emergency car at the first intersection is a QR code. A camera placed at the intersection scans the QR code and signals the ESP module by sending a signal. When the emergency vehicle is approaching, the ESP module activates the buzzer to alert other drivers to halt. Additionally, to make room for the emergency vehicle, the LEDs turn green.
An ESP module from the first junction is connected to a Wi-Fi module positioned at the second junction. The second junction's traffic signal turns red automatically when the emergency vehicle is detected by the system, allowing it to pass through without being delayed. A practical and affordable alternative for managing traffic for emergency vehicles is offered by the suggested system. Emergency vehicles are quickly and precisely identified thanks to the utilisation of ocular sensing, Wi-Fi modules, and QR codes. Throughout the whole route, emergency vehicles can be given precedence thanks to the system's ability to communicate across junctions.
IJCRT's Publication Details
Unique Identification Number - IJCRT2306042
Paper ID - 237021
Page Number(s) - a347-a351
Pubished in - Volume 11 | Issue 6 | June 2023
DOI (Digital Object Identifier) -   
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
  Revu Supriya,  Kalluri Pooja,  Riya Yasmeen,   
"Traffic Management system based on visual sensing for emergency vehicles.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 6, pp.a347-a351, June 2023, Available at :
http://www.ijcrt.org/papers/IJCRT2306042.pdf