Smart traffic light for emergency vehicle by using arduiono

2019 ◽  
Author(s):  
Mohd Zain Ismail ◽  
Ahmad Zaki Ahmad Lutfi ◽  
Muhammad Adib Mohammad Roslan
Author(s):  
Atzroulnizam Abu ◽  
Muhammad Ikhmal Abdul Rahman ◽  
Muhamad Fadli Ghani ◽  
Mohd Saidi Hanaffi ◽  
Ahmad Zawawi Jamaluddin

Author(s):  
A. Vinidha Roc ◽  
P. R. Banuprakash ◽  
G. Paul Asir Nixon Raj ◽  
L. Prasad

Traffic signals are the most efficient way of controlling traffic in a busy junction. But, we can see that these signals fail to control the traffic effectively when a particular lane has got more traffic than the other lanes. The idea behind this project is to implement a system which would easily control the traffic and helps for the emergency vehicles to reach at their destination easily and quickly. In our project, a system of cameras are used to regulate traffic. They obtain information in their respective places and coordinate with other cameras in the system to change traffic signals and suggest green signal for that route to avoid maximum traffic. Emergency vehicle can be detected with the help of sound sensors placed in the junction, which coordinates with the microcontroller and makes the particular Lane free.


Author(s):  
Faisal Al Kalbani ◽  
Nada Al Bulushi ◽  
Syed Imran

In this paper an improved smart light controller is created. The system is based on Internet of Things. The system is created by IoT components like Arduino UNO, RFID and IR sensors. The traffic density is measured by IR sensors. RFID technology is used for ambulance vehicles to give a green path. The system works automatically and interrupted only when an emergency vehicle sends an order to get a green path.


2012 ◽  
Vol 41 ◽  
pp. 636-642 ◽  
Author(s):  
R. Hussin ◽  
R.C. Ismail ◽  
E. Murrali ◽  
A. Kamarudin

Author(s):  
Rashi Maheshwari

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.


Author(s):  
Awad Alharbi ◽  
George Halikias ◽  
Adnan Ahmed Abi Sen ◽  
Mohammad Yamin

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