IoT based Smart Traffic density Control using Image Processing

Frank, Anilloy; Aamri, Yasser Salim Khamis Al; Zayegh, Amer

doi:10.1109/icbdsc.2019.8645568

Cited by 48 publications

(27 citation statements)

References 2 publications

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“…As a result, the improved code is improved in quality and performance compared with the existing code. These factors are different from other researchers [23][24][25][26]. Figure 1 shows the performance measurement and quality improvement process for smart traffic control simulator's code written in Java [27,28].…”

Section: Related Studies Of Smart City's Softwarementioning

confidence: 87%

“…In [23], Anilloy Frank et al proposed an Internet of Things (IoT)-based traffic control system to overcome the effects of traffic congestion. The proposed system measures the actual traffic density on the road and uses real-time video image processing technology.…”

Section: Related Studies Of Smart City's Softwarementioning

confidence: 99%

“…However, each study is slightly different as follows. The work of [23] has developed a system for traffic control. In contrast, [24] and [25] are about the stability and service on the network, which is different from the purpose of our study.…”

Section: Related Studies Of Smart City's Softwarementioning

confidence: 99%

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Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

et al. 2020

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In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance; otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code’s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined performances through effective code visualization. As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance. With this approach, we expect to obtain an accurate performance and complexity improvement of the object-oriented traffic control simulator without significant power consumption.

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Section: Related Studies Of Smart City's Softwarementioning

confidence: 87%

Section: Related Studies Of Smart City's Softwarementioning

confidence: 99%

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Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

et al. 2020

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“…Driver fatigue and drowsy detection system is been designed and the system was able to detect only the driver drowsiness and it will not intimate about the approaching vehicle from a blind spot or curve [8]. Image processing based traffic control and accident detection system is designed [13] the processing in real time is slow and incurs high deployment cost. An instinctive speed and accident control system [14] is designed using ultrasound sensor and the system is for an individual vehicle and serves as a part of the autonomous vehicle model.…”

Section: Existing Systemsmentioning

confidence: 99%

Accident Prevention and Traffic Pattern Analysis System for Hilly Regions

2019

IJITEE

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In hilly regions, there will be a number of curves and hairpin bends. The roadway is one of the often-used modes of transport in these regions. Accident rate and death rate in hilly regions are increasing day by day. The roads in this region will definitely have bends and steep curves; hence, it is difficult to see the vehicles coming from the opposite side. The proposed system aims in reducing the risk of driving vehicle in the terrain region with hairpin bends and steep curves. The deployed controller with ultrasonic sensor senses the vehicle coming towards the bend and intimates it to the other side of the bend or curve; it gives three stages of LED alerts to the driver driving the vehicle from the opposite side of the hairpin bend or curve. It also senses the speed of the vehicle, if the vehicle speed is high, it will alert the drivers through the buzzer. These alerts will indirectly convey the drivers to slow down the speed of the vehicle. The foremost focus of the proposed system is to prevent accidents for the drivers and passengers in order to decrease the death rates in hilly regions. This system also provides a way for analyzing the number of uphill and downhill vehicles in the hill stations by storing the data in the cloud. The analyzed data is be viewed over the internet through a web application. The web application serves as a traffic pattern analyzer for people who wish to travel by that road.

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“…To overcome such impact of traffic congestions, it is required to develop an IoT Based traffic control system. The proposed system would be based on the measurement of the actual traffic density on the road [2].Traffic rules are disregarded by the people which involves even basic rules such as not following traffic lights, ignoring seat belts, getting away with zebra crossing, using smartphones whilst driving and more reasons for people and ecosystem damage. The major obstacle today in various cities are vandalize and wrecked roads which leads to more accident prone for the economy.…”

Section: Proposed Idea: Vehicles Dangermentioning

confidence: 99%

Implementing IoT and Data Analytics To Overcome "Vehicles Danger"

Sachdeva¹,

Verma²,

Chahal³

et al. 2019

IJITEE

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In the fast pacing world, we commune from one place to another or one city to another with the means of vehicles. In recent years, data shows the worse conditions of the roads in Delhi with rapidly increasing of accidents. Roads in Delhi are more accident prone which creates more jeopardy to survive in Delhi for everyone. This problem persist from last few years due to various factors like open sewage, speed breakers, damaged roads which leads to loss of life of manhood and ecosystem. Since India is a developing nation there is a constant demand for good quality infrastructure, transportation and services. But since India is a vast country with quite a sizeable population this problem still has not yet addressed in totality. By using proposed methodology, for reducing the risk in the life of manhood as well as ecosystem by detecting all the factors for accidents and then improvement can be assured at the level of road safety management effectively and efficiently. Through this methodology, we can resolve these major issues by using Computer Vision, vision detector and Machine Learning so that drivers can easily aware of what ahead of them and act alertly before accident actually happens. Models are preinstalled on vehicles for safety purposes of the people, by using vision detector driver can acknowledge the obstruction ahead the car. Using the divergent and advanced technologies, live screening of the objects or obstacles ahead the vehicle will be visible to the driver for better ease and safe drive. Driver will get the notification from articulate assistant in any language by detecting the data ahead the car whilst specific range. Simple commands would comprise of “Speed Breaker ahead, slow down”.

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IoT based Smart Traffic density Control using Image Processing

Cited by 48 publications

References 2 publications

Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

Accident Prevention and Traffic Pattern Analysis System for Hilly Regions

Implementing IoT and Data Analytics To Overcome "Vehicles Danger"

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