International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
Traffic Signal Violation Avoidance System Prof. Bharath Bharadwaj B S1, Ms. Chaitra B2, Mr. Daman Medappa S S3, Ms. Gagana J4, Ms. Reshika Rajesh K5 1Assistant Professor, Dept. of Computer Science and Engineering, Maharaja Institute of Technology Thandavapura 2,3,4,5 Students, Dept, of Computer Science and Engineering, Maharaja Institute of Technology, Thandavapura
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Abstract – People frequently disobey traffic signals, cause
system, or be as basic as connecting our kitchen oven to our cell phones. IoT promises to be extremely important in meeting this public need.
disruptions, and fail to react appropriately at signal points, which results in traffic jams and accidents. To acknowledge this issue, we installed a road blocker as spike, which prevents the vehicle from relying on the traffic signal and from breaking traffic signal laws. We have speed breakers in the shape of spikes to reduce or regulate the vehicle’s speed. By employing a mechanism, we may create a barricade from these speed breakers. We can use the produced barrier to operate a road blocker, which is powered by a timing sensor.
1.1 OBJECTIVE The current traffic signal system is set up with delays, and the times during which signals changeover are fixed and independent of the volume of traffic at that moment. To acknowledge the serious issues with traffic congestion, the current traffic system needs to be modernized. Thus, to acknowledge numerous issues and enhance the traffic system, we now suggest a straightforward, reasonably priced, and real-time traffic light system. On the basis of PIC microprocessor, the system measures traffic density by employing dynamic timing slots with varying levels and infrared sensors placed on either side of each route. Our solution will be very helpful in resolving most of today's traffic congestion issues.
Key Words: Spike, Timing Sensor, Violation
1.INTRODUCTION Lester Wire, a Detroit police officer, made the initial discovery of traffic signal in 1912. He recommended a twocolour, red and green light with a buzzer to alert pedestrians of an approaching change in traffic. William Potts then altered this basic design in 1920 to incorporate the commonly used three-color red, amber, and green lights. With minimal deviation, this straightforward, three-color icon has been used with contemporary technology including motion sensors, diode lights, and automated timers for almost a century.
1.2 MOTIVATION Currently in use, traffic signal violation prevention systems mostly rely on manual monitoring and static traffic cameras. These cameras record traffic crossings as pictures or videos. The video is viewed by human operators who look for infractions like speeding and running red lights. This method may take longer and yield lower accuracy. The current traffic signal system is set up with delays, and the times during which signals changeover are fixed and independent of the volume of traffic at that moment. To address the serious issues with traffic congestion, the current traffic system needs to be modernized. Thus, to address numerous issues and enhance the traffic system, we now suggest a straightforward, reasonably priced, and realtime traffic light system. The microprocessor at the heart of the system analyses traffic density. Our solution will be very helpful in resolving the majority of today's traffic congestion issues.
To facilitate the efficient flow of traffic, let vehicles or pedestrians to pass a junction, and lessen the frequency of collisions between cars approaching crossings from opposing directions, traffic lights are primarily designed. Due to the growing number of cars on the road, traffic infractions are becoming increasingly serious both in India and globally. Avoidance systems for traffic violations are necessary to acknowledge the concerning issue. Spikes are activated by the traffic avoidance system to prevent system hopping. Real-time traffic signal infraction prevention is possible with this system. Additionally, we offer a separate access gate for government class one vehicles and ambulances, among other emergency vehicles. Over the last ten years, India's vehicle population has grown at a rate of about 30% annually.
1.3 RELATED WORK This part presents the recent research on the use of the deep learning for traffic control and load balancing in SDN networks and Mao et al suggested a non-supervised deep learning convolutional neural network-based method for a software-defined wireless network. Compared to conventional routing protocols, this technique can better
There is a significant increase in vehicles this year. The world of today is steadily becoming more automated. Everyone demands that everything be networked and automated. This link can be as complex as connecting an American-based phone system to an Indian telephone
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