A Survey on IntelligentTraffic Control System Using Image Processing

Ijeri, Dakshayani; Gulaganji, Amar; Mandewali, Abhishek A.; Bannad, Pavitra C.; Aiholli, Jyoti A.

doi:10.1109/icspc46172.2019.8976520

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…The Wi-Fi module is used to update the status of the vehicle count. The method proposed in [8] uses cameras to capture all lanes of the road and then applies image processing techniques to obtain traffic data. In [8], the reference image and the captured image are compared.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

IoT based Dynamic Road Traffic Management System

Bhavana¹,

Likhitha²,

Manoj³

et al. 2023

J. Phys.: Conf. Ser.

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Traffic due to automobiles is a major problem in many urban places in India as well as in other countries. Malfunctioning of the traffic lights and various other dysfunctionalities has led to traffic congestion which hurts the economy, environment, and overall quality of life. Hence it is very important to manage the traffic congestion problem effectively. In this paper, a prototype is proposed for a traffic management system using IR sensors, Arduino, serial to the parallel shift register, and LED displays. The density of the traffic is measured by placing the IR sensors at the 4 lane junction after a certain distance. The data collected from sensors is used to dynamically change the sequence of green lights as well as to dynamically change the green light delays. The proposed road traffic management system is implemented in the proteus software. For high traffic zone, a higher green light delay is given whereas for low density zone, the duration of the green light delay is reduced. The system is also designed in such a way as to give preference to the lanes which have no vehicles/very few vehicles by providing the least green light delays.

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Section: Introductionmentioning

confidence: 99%

“…The method proposed in [8] uses cameras to capture all lanes of the road and then applies image processing techniques to obtain traffic data. In [8], the reference image and the captured image are compared. The reference image and the image to be matched are acquired continuously using a camera installed at the intersection.…”

Section: Introductionmentioning

confidence: 99%