Affiliation:
1. Symbiosis Institute of Technology, Pune Campus Symbiosis International (Deemed University) Pune Maharashtra India
2. Department of Computer Engineering and Technology, School of Computer Engineering and Technology Dr.Vishwanath Karad MIT World Peace University Pune Maharashtra India
3. Department of Computer Science Engineering, Sharda School of Engineering and Technology Sharda University Greater Noida Uttar Pradesh India
4. Verolt Engineering Pvt. Ltd Pune Maharashtra India
Abstract
AbstractFixed cycle traffic lights primarily regulate road traffic, in which traffic light control systems are for specific lanes or crossings in urban areas. Also, not being appropriately installed can prolong the congestion delay and unnecessarily long wait times for crossing intersections, which can cause emergency vehicles to become stuck at intersections. Adaptive signal timing management technique that is more computationally viable than current fixed cycle signal control systems and can improve network‐wide traffic operations by reducing traffic delay and energy consumption. Even though specific adaptive control systems exist, there is no mechanism to communicate with emergency vehicles, which is crucial for smart cities. Motivated by this problem, a novel framework, Emergency Vehicle Adaptive Traffic Light (EVATL), is proposed for smart cities where an adaptive mode of operation for traffic lights is employed with emergency vehicle communication, improving their functioning and reducing overall congestion delay. EVATL detects emergency vehicle location using GPS with the Internet of Things(IoT), which integrates with traffic signals and works adaptively according to vehicle density at the traffic signal using YOLOv8. So, the primary goal of the proposed EVATL is to prioritise an emergency vehicle while simultaneously integrating adaptive traffic signals for smart cities. A GUI is developed for evaluating the proposed model by creating different scenarios for an adaptive traffic light and emergency vehicle communication. While analysing the simulation results of the proposed model EVATL, a clear improvement can be seen in the wait time of vehicles at a traffic light with the timely detection of an emergency vehicle at a set distance.
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Urban Studies,Software,Control and Systems Engineering
Reference51 articles.
1. United Nations:68% of the World Population Projected to Live in Urban Areas by 2050(2018).https://www.un.org/development/desa/en/news/population/2018‐revision‐of‐world‐urbanization‐%20prospects
2. Smart cities;Sadiku M.;Int. J. Sci. Eng. App. Sci.,2016
3. Smart Sensors in Industry 4.0
4. An empirical study of vehicle to infrastructure communications - An intense learning of smart infrastructure for safety and mobility
5. A PSO Based Malicious Node Detection and Energy Efficient Clustering in Wireless Sensor Network
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