ARTIFICIAL INTELLIGENT DENSITY AND EMERGENCY VEHICLE ENTRY BASED TRAFFIC LIGHT CONTROL SYSTEM USING ARDUINO MEGA

Registration ID: IJNRD_215316

Published ID: IJNRD2404335

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Mr. R. SANKARARAMAN, Mr. M. KANAGAVEL, Mr. B. MOHAN KUMAR, Mr. A. PRAVEEN KUMAR, Mr. S. RIYAS KHAN

In our project it consists of two applications like emergency and density-based traffic control system. Our idea of setting a traffic light is as follows. Suppose there are several cars standing before a crossing, if an ambulance is on the way; normal time-based traffic system won’t allow the vehicles to pass. It will permit the vehicle to move after the time completes. This is not suitable system for emergency situations. To overcome these difficulties, we designed our project named “INTELLIGENT AND DENSITY BASED TRAFFIC LIGHT CONTROL SYSTEM”. The traffic light system of our style is constructed by using a very simple technique. All different types of emergency vehicles wherever it required we must install a small low power transmitter. The carrier frequency of all the transmitters will be the same. To transmit the code through carrier wave ISM (Industrial Scientific & Medicine) based transmitter & receiver module is used. It generates carrier wave at 433.92MHz. At transmitter side HT12E used as encoder to generate operation codes and these codes are transmitted through ISM based transmitter. In the receiver side to receive the operation code, ISM based receiver is used. The received data are decoded by ARDUINO MEGA controller. This bit pattern is used as input to the micro controller. The output ports are connected to the traffic light source. From this we can control the other side traffic and give priority to the emergency vehicle. After the time delay the original traffic time sequence will be followed. In density traffic light control, IR is fixed on four sides of the main road and traffic movements of the vehicle are sensed by IR sensor. In This system microcontroller is interfaced with sensors, which changes the junction timing automatically to accommodate movement of vehicles smoothly avoiding unnecessary waiting time at the junction. The IR sensor is used in this project which is kept in line-of-sight configuration across the loads to detect the density during the traffic signal. The density of vehicles is measured in two zones: medium, high based on which timings are allotted accordingly. Depending upon the density of the traffic the green signal is given for heavy traffic road and the road is allowed for vehicle movement after the flow is descended the yellow light is given to stop the movement. The next thick traffic density is ascertained by sensor using IR and the route is opened for movement. The first flow of traffic is closed by red light. This system will be useful for all major cities to control the traffic intelligently. Arduino Mega (Atmega1280), ISM, HT12E, IR Sensor, Code Generator, LCD, LED, RF Transmitter & RF Receiver.

In our project it consists of two applications like emergency and density-based traffic control system. Our idea of setting a traffic light is as follows. Suppose there are several cars standing before a crossing, if an ambulance is on the way; normal time-based traffic system won’t allow the vehicles to pass. It will permit the vehicle to move after the time completes. This is not suitable system for emergency situations. To overcome these difficulties, we designed our project named “INTELLIGENT AND DENSITY BASED TRAFFIC LIGHT CONTROL SYSTEM”. The traffic light system of our style is constructed by using a very simple technique. All different types of emergency vehicles wherever it required we must install a small low power transmitter. The carrier frequency of all the transmitters will be the same. To transmit the code through carrier wave ISM (Industrial Scientific & Medicine) based transmitter & receiver module is used. It generates carrier wave at 433.92MHz. At transmitter side HT12E used as encoder to generate operation codes and these codes are transmitted through ISM based transmitter. In the receiver side to receive the operation code, ISM based receiver is used. The received data are decoded by ARDUINO MEGA controller. This bit pattern is used as input to the micro controller. The output ports are connected to the traffic light source. From this we can control the other side traffic and give priority to the emergency vehicle. After the time delay the original traffic time sequence will be followed. In density traffic light control, IR is fixed on four sides of the main road and traffic movements of the vehicle are sensed by IR sensor. In This system microcontroller is interfaced with sensors, which changes the junction timing automatically to accommodate movement of vehicles smoothly avoiding unnecessary waiting time at the junction. The IR sensor is used in this project which is kept in line-of-sight configuration across the loads to detect the density during the traffic signal. The density of vehicles is measured in two zones: medium, high based on which timings are allotted accordingly. Depending upon the density of the traffic the green signal is given for heavy traffic road and the road is allowed for vehicle movement after the flow is descended the yellow light is given to stop the movement. The next thick traffic density is ascertained by sensor using IR and the route is opened for movement. The first flow of traffic is closed by red light. This system will be useful for all major cities to control the traffic intelligently.

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Mr. R. SANKARARAMAN, Mr. M. KANAGAVEL, Mr. B. MOHAN KUMAR, Mr. A. PRAVEEN KUMAR, & Mr. S. RIYAS KHAN (April-2024). ARTIFICIAL INTELLIGENT DENSITY AND EMERGENCY VEHICLE ENTRY BASED TRAFFIC LIGHT CONTROL SYSTEM USING ARDUINO MEGA. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d285-d288. https://ijnrd.org/papers/IJNRD2404335.pdf

Volume 9 Issue 4, April-2024

Pages : d285-d288

Paper Reg. ID: IJNRD_215316

Published Paper Id: IJNRD2404335

Research Area: Electronics & Communication Engg. 

Author Type: Indian Author

Country: PALANI, DINDIGUL, TAMILNADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404335.pdf

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