IOT-Based Smart Traffic Light System for Smart Cities

Gupta, Manish; Kumar, Divesh; Kumar, Manish

doi:10.1007/978-981-15-6707-0_56

Cited by 12 publications

(5 citation statements)

References 10 publications

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“…Radar research and development has been tremendously successful, and it has changed computers profoundly. Radar researchers will eventually be able to design, develop, and improve security and user interfaces in addition to meeting the required performance standards in a variety of settings [20]- [23]. An ultrasonic radar is an object detection system that uses ultrasonic waves in place of electromagnetic waves to determine the location, velocity, direction, and altitude of both moving and stationary objects, including cars, ships, airplanes, weather formations, and terrain [24].…”

Section: Related Workmentioning

confidence: 99%

Missile Tracking System Used by the Military

Baballe

2024

UJRRA

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Section: Related Workmentioning

confidence: 99%

Missile Tracking System Used by the Military

Baballe

2024

UJRRA

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“…The current traffic light models are not suited to tackle problems such as traffic jams, ease of access for emergency This will be controlled by the traffic warden or police officer [6], [7].…”

Section: ░ 2 Literature Reviewmentioning

confidence: 99%

Intelligent Based Real Time Traffic Monitoring in Smart Cities

Ramachandran¹,

Abitha²,

Priyadharshini³

et al. 2023

IIJSR

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PC-based Intelligent Traffic Monitoring System is unable to deal with the on-going issues surrounding congestion. The current traffic light models are not suited to tackle problems such as traffic jams, ease of access for emergency vehicles and prevention of accidents. In order to counteract these issues, we propose ‘PC-based Intelligent Traffic Monitoring System with Real-time Analysis for Smart Cities’. The system consists of a network of cameras installed at strategic locations across the city, which capture images of vehicles and pedestrians. These images are then processed by intelligent algorithms, which analyse the data and provide real-time traffic information. The system is also equipped with a real-time monitoring interface, which displays the traffic data in an easy-to-understand format. The system is designed to help cities optimize their traffic flow and reduce congestion. By analysing real-time traffic data, city officials can make informed decisions about traffic management and can take immediate action to alleviate congestion. This project will focus on two aspects of implementation. First and foremost, to make traffic light controlling more efficient, image processing alongside with embedded system, will be used. This system will intelligently decide when to alternate signals based on the emergency vehicle on each lane which will increase road capacity and traffic flow. Secondly the system favours school students by giving green signal to give them free passage. It is a matter of concern, as emergency vehicles are being categorized as priority vehicles, so their waiting time should be minimum.

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“…Gupta and his colleagues [20], proposed a system to make a connection between vehicles and traffic lights directly using IoT, and the vehicles provide the important real-time information to the traffic controller related to road transportation. However, their system is not practical because its high cost, whereas each vehicle must have an IoT device.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach for Traffic Congestion Mitigation Based on Fog Computing Using IFogsimulator

Elsayed

Mohamed

Harb

2022

Preprint

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Internet of Things (IoT) needs an accurate latency computation. The connected IoT devices generate an enormous amount of data which is processed on the infrastructure of a cloud. However, the cloud is not an effective solution. To address this issue, fog computing enables processing at the edge while still allowing users to communicate with the cloud. Therefore, many applications depend on fog computing, such as traffic management. In this paper, an intelligent Traffic Congestion Mitigation System (ITCMS) is proposed to solve the problem of traffic congestion in crowded smart cities. The proposed system is implemented based on fog computing. It has been applied to a crowded city and its performance is evaluated according to some metrics such as traffic efficiency, saving energy and reducing the latency, the average rate of traffic flow, and waiting time. The obtained results show that the execution time of our simulation takes 4,548 seconds, the Application loop delay takes 49.67 seconds. Thus, the results show better performance, more accuracy, low latency, and traffic efficiency

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IOT-Based Smart Traffic Light System for Smart Cities

Cited by 12 publications

References 10 publications

Missile Tracking System Used by the Military

Missile Tracking System Used by the Military

Intelligent Based Real Time Traffic Monitoring in Smart Cities

A Novel Approach for Traffic Congestion Mitigation Based on Fog Computing Using IFogsimulator

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