Density Based Traffic Control System

—The project is aimed at designing a density based dynamic traffic signal system where the timing of signal will change automatically on sensing the traffic density at any junction. Traffic congestion is a severe problem in most cities across the world and therefore it is time to shift more manual mode or fixed timer mode to an automated system with decision making capabilities. Present day traffic signaling system is fixed time based which may render inefficient if one lane is operational than the others. To optimize this problem we have made a framework for an intelligent traffic control system. Sometimes higher traffic density at one side of the junction demands longer green time as compared to standard allotted time We, therefore propose here a mechanism in which the time period of green light and red light is assigned on the basis of the density of the traffic present at that time. This is achieved by using PIR(proximity Infrared sensors). Once the density is calculated, the glowing time of green light is assigned by the help of the microcontroller (Arduino). The sensors which are present on sides of the road will detect the presence of the vehicles and sends the information to the microcontroller where it will decide how long a flank will be open or when to change over the signal lights. In subsequent sections, we have elaborated the procedure of this framework.

IRJET, 2020

In this project, we are designing a density based automatic traffic light control system where the timing of signal is changed by sensing the traffic density at any roads. Traffic congestion is a major problem in most cities across a world. It is caused by delay in signal, improper timing of traffic controlling because of this reason it is time to shift more manual mode to an automated system with decision making capabilities. In present condition, traffic controlling system is fixed time based which may become inefficient if one road is operational than the others. Therefore optimizing traffic control, we have made a prototype model for an intelligent traffic control system using IR sensors & Arduino. Sometimes higher traffic density at one side of road require high green time as compared to allotted time. The infrared sensors which are placed on either sides of the road at particular distance will detect the presence of the vehicles and send the information to the microcontroller where it will decide how long a flank will be open or when to change over the signal lights. In next sections, we have expand the procedure of this system.

International Journal of Innovative Research in Computer Science and Technology, 2024

Every city in the world suffers from traffic congestion, which greatly disturbs the citizens. This problem is made worse by signal timing delays because modern traffic lights are not traffic condition-adaptive. An increasing number of people are in need of effective automatic traffic control technologies to address this. In this study, a density-based dynamic traffic signal control scheme is proposed. The system uses infrared sensors fixed on road poles and a Node MCU micro-controller to automatically modify signal timing according to traffic density at intersections. It is essential to go from fixed-time signaling to automated decision-making. Current fixed-timing systems become ineffective when imbalances in traffic flow arise. This study proposes a solution to a common urban problem by introducing an adaptive traffic light system to reduce congestion.

Traffic congestion has become one of the major problems around the world nowadays. Very few steps have been taken already by Government but the result is not that much satisfactory as its too hard to cope up with increasing population and number of traffics. The main goal of our project is to reduce this traffic problem to some extent by using digital technologies. The project is to design and develop an adaptive traffic control system using a microcontroller. Traditional traffic control system is allotted fixed timing to traffic light at road intersection which cannot be varied as per traffic situation or density. We can develop a system with the help of detecting the traffic density to control the traffic at road intersection. The main theme of this project is when the lane have density then the sonar sensor of those lane sense the density and sent the signal to Arduino. Arduino check it and if that lane have higher density then the Arduino turned on the LED into green and others lane LED into red. If the density of those lane are equal then Arduino will synchronously turned on the LED into green lane by lane. We also created an emergency lane for emergency situation like ambulances, VIPs etc. For creating this system when an ambulance or VIP will go a particular lane then the individual sensors of that particular lane will be connected to Vcc and the other sensors of the other lanes will be remained like open circuit. We can place sensors which will detect the presence of traffics and measure the density of traffics on the road where we want to control the traffic. , Sensors will detect the density of vehicles of transmit it to a microcontroller which has based routing algorithm programmed for smart traffic system.

International journal of engineering research and technology, 2019

Traffic congestion is a severe problem in most of the cities across the world and it has become a nightmare for the citizens. It is caused by delay in signal, inappropriate timing of traffic signalling etc. The delay of traffic light is hard coded and it does not depend on traffic. Therefore, for optimising traffic control, there is an increasing demand in systematic quick automatic system. This paper is designed to develop a density based dynamic traffic signal control. The signal timing changes automatically on sensing the traffic density at the junction. The microcontroller used in this project is ARDUINO. The system contains IR sensors (transmitter and receiver) which will be mounted on the either side of the road on poles. It gets activated and receives the signal as the vehicles passes close by it.

Innovative Journal for Opportunities and Development in Science &Technology, 2021

The paper is aimed at designing a density based dynamic traffic signal system where thetiming of sign will change naturally on detecting the traffic thickness at any intersection. Gridlock is aserious issue in many urban areas across the world and in this way the time has come to move more manual mode or fixed clock mode to amechanized frame work with dynamic capacities.

This traffic controller system aims at designing a dynamic automated traffic control system where the signal and time limit will be automatically changed when it detects traffic congestion in any lane. Traffic congestion is a major problem in many cities around the world so it is urgent need to switch over from manual mode or timer mode to an automated traffic control system that has the power to make decisions on its own. The current traffic signal system is working on fixed time which may not work if one route gets more traffic than other lane. To overcome this problem, a smart traffic control system is proposed. When using this system high traffic congestion on a particular lane receives green for a longer period of time compared to the other lanes which has normal vehicle flow. Therefore, the proposed method of providing green and red light time is based on the amount of traffic congestion at the time with the help of an IR sensor and Sound sensors connected to ATmega 2560 Microcontroller.

International Journal of New Practices in Management and Engineering

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic...

The project is aimed at designing a density based dynamic traffic signal system where the timing of signal will change automatically by determining the traffic density at any junction. Traffic congestion is a severe problem in most cities across the world and therefore it is time to shift from manual mode or fixed timer mode to an automated system with decision making capabilities. Present day traffic signaling system is fixed time based which may render inefficient if one lane is operational than the others. To optimize this problem, a framework for an intelligent traffic control system needs to be designed. Sometimes higher traffic density at one side of the junction demands longer green time as compared to standard allotted time. Also emergency vehicles such as ambulance , fire estinguishing engines etc should be prioritized. Therefore proposed here is a mechanism in which the time period of green light and red light is assigned on the basis of the density of the traffic present at that time and if emergency vehicle is present in any lane, that particular lane is cleared first. This is achieved by using Image Processing techniques. The images of the roads are captured by the camera, that are processed in MATLAB and the information about the emergency vehicle and the density of each road is sent to the microcontroller. Once the density is calculated, the glowing time of green light is assigned with the help of the microcontroller (Arduino UNO).The microcontroller will control the signal lights.