Smart traffic lights switching and traffic density calculation using video processing

Author(s):  
Anurag Kanungo ◽  
Ayush Sharma ◽  
Chetan Singla
Author(s):  
A’isya Nur Aulia Yusuf ◽  
Ajib Setyo Arifin ◽  
Fitri Yuli Zulkifli

<span id="docs-internal-guid-288f4dcc-7fff-1e8c-0350-5032593b6e4f"><span>Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.</span></span>


2018 ◽  
Vol 215 ◽  
pp. 01009
Author(s):  
Alfith Alfith ◽  
Kartiria Kartiria

The main function of the highway are used as a means to facilitate transportation, but today is often challenging due to all road users wanting more quickly reach its destination and precede each other. On the other hand, there is also a special car or entourage effect on traffic density, which in turn impact on congestion. To cope with this is actually the duty of the Traffic Police is not every day got in the way to manage traffic and will not be able to count the number of passing vehicles. To direct the traffic at any place such as a T-junction, an intersection, or intersection five solid pace of the traffic, the necessary traffic arrangements multifunctional tool called Smart Traffic Light. Called smart because the traffic light is deemed able to overcome three problems, such detect traffic density which affects the green light sensor uses the object infrared, able to detect the presence of specific signal from cars special like ambulance or fire engine or police or the like are automatically will change traffic lights red to green light using the XBee wireless module Pro and GPS, and seeks the traffic lights stay lit even though the supply of PLN extinguished using a spare battery. The system is capable of regulating the rate of traffic by arranging alternately road vehicle that passes a certain spot every day for nearly 24 hours a day and on these tools need to pair every day.


2020 ◽  
Vol 32 ◽  
pp. 03028
Author(s):  
Tanvi Sable ◽  
Nehal Parate ◽  
Dharini Nadkar ◽  
Swapnil Shinde

Traffic is the serious issue which each nation faces due to the expansion in number of vehicles. One of the strategies to beat the traffic issue is to build up a smart traffic control framework which depends on computing the traffic density and about utilizing constant video and picture preparing procedures. The topic is to control the traffic by deciding the traffic density on each roadside and control the traffic signal smartly by utilizing the density data. In this paper, an automated system based on processing of real time videos is proposed for detection of vehicles and recording count of them. The System will consist of various stages which includes Object Car Detection and Signal variation based on density. Captured video will be converted into frames and which will be pre-processed for object detection using Haar-Cascade than detected object count will be used to obtain the density and manipulate the signal accordingly. The density count algorithm works by contrasting the ongoing edge of live video by the reference picture and via looking through vehicles just in the district of intrigue (for example street region). The figured vehicle thickness can be contrasted and other course of the traffic so as to perform control of the traffic flags in more smart and proficient manner.


2020 ◽  
Vol 26 (2) ◽  
pp. 192-201
Author(s):  
Sri Redjeki Pudjaprasetya ◽  
Dear Michiko Noor

Traffic management of intersections is an important factor that can determine traffic density at the intersection, as well as its surrounding. Long traffic queues we encounter in daily life, were often caused by ineffectiveness of traffic lights management of the cross sections.In this article, an analytic study of traffic light management of a four-leg intersection, based on the kinematic LWR model, was presented. Comparison was based on observing the end of queues over three cycles of red-green lights, under the assumption of a constant traffic flux. On every leg of the intersection, the end of the queues were obtained from characteristic lines of the shock waves.From these observations, the three phase regulation was preferred over the four-phase one. Finally, a case study of Taman Sari - Baltos intersection located in Bandung City, Indonesia, was discussed. Parameter values used in these simulations were obtained from direct observation. 


Sign in / Sign up

Export Citation Format

Share Document