GURGAON: Students at Shiv Nadar School here have evolved an 'clever traffic light' device which they say may not only assist cut back commute time but in addition lower air air pollution.
The device created by means of four Grade 11 scholars --- Shreya Raju, Om Shelat, Ira Sidhu and Soumya Juneja -- makes the existing traffic light device aware of real-time traffic intensity.
It is the primary device meant to work on Indian roads and will function appropriately protecting in thoughts the traffic situation within the country, in line with a undertaking paper written by means of the staff.
"Based on our research, we found that most traffic signals work on preset algorithms and timers that are probably customised for each junction but stay static once configured," Shelat, one of the scholars, instructed PTI.
"On close observation, we realised that the lopsided nature of the traffic leads to a large portion of time of the commuters being wasted at each junction," Shelat stated.
"Using a simple camera and a microcontroller, we now have a way to calculate the amount of traffic present on the road using a camera and then modify the red/green distribution time at each junction dynamically," he stated.
As consistent with a contemporary record released by means of The Boston Consulting Group, commuters in Delhi, Mumbai, Bengaluru, and Kolkata spend 1.five hours greater than their opposite numbers in different Asian towns throughout peak traffic occasions, the scholars wrote within the paper.
Vehicles are a major contributor to air air pollution however after the implication of our undertaking, commuters will spend less time at the roads as in comparison to previous because of primitive traffic control device, in line with the paper.
The highest section about the innovation is that it is compatible with the existing traffic lights, thus cutting down the prices and time required for implementation, the scholars stated.
The device will cost only Rs 20,000 as in comparison to Rs 8 lakh spent on different techniques, they stated.
A prototype has been evolved and tested in live traffic prerequisites. It has also been licensed for an extended trial by means of the native government, the scholars stated.
This device makes use of a digital camera to sense the converting traffic patterns round by means of shooting a picture.
The captured image is then despatched to a microprocessor, which makes use of image processing and edge detection algorithms to detect edged black and white pixels.
By quite a lot of real-time observations and analysis below different traffic density eventualities, the scholars made up our minds the volume of maximum and minimum time required for different traffic densities to clear.
"This ensures that we don't waste any time at junctions and when scaled to the city level, it would work towards ensuring that we reduce the fleet time for each commuter automatically," Shelat stated.
"We are proud of our students for developing a project like the Intelligent Traffic Light Management system, wherein they have solved the real-life problem of traffic congestion using technology," stated Monica Sagar, Principal, Shiv Nadar School.
"As part of the Robotics and IT classes in school, the students were introduced to the concepts of microcontrollers and image processing systems. It was great to witness how they translated classroom knowledge to solve a real life problem," Mark Nelson, Project Lead - IT at Shiv Nadar School added.
Air air pollution has an excessively damaging impact on an individual's health and with the expanding vehicles; this drawback is going to get worse, the scholars stated.
This relief in time spent at the road will lead to a lower within the selection of pollution released by means of the cars and thus, decreasing air air pollution, they stated.
"The idea has also been applauded by the government at the recently concluded CSIR Innovation Award for School Children-2018, where the students bagged the fifth prize," stated Sagar.
The device created by means of four Grade 11 scholars --- Shreya Raju, Om Shelat, Ira Sidhu and Soumya Juneja -- makes the existing traffic light device aware of real-time traffic intensity.
It is the primary device meant to work on Indian roads and will function appropriately protecting in thoughts the traffic situation within the country, in line with a undertaking paper written by means of the staff.
"Based on our research, we found that most traffic signals work on preset algorithms and timers that are probably customised for each junction but stay static once configured," Shelat, one of the scholars, instructed PTI.
"On close observation, we realised that the lopsided nature of the traffic leads to a large portion of time of the commuters being wasted at each junction," Shelat stated.
"Using a simple camera and a microcontroller, we now have a way to calculate the amount of traffic present on the road using a camera and then modify the red/green distribution time at each junction dynamically," he stated.
As consistent with a contemporary record released by means of The Boston Consulting Group, commuters in Delhi, Mumbai, Bengaluru, and Kolkata spend 1.five hours greater than their opposite numbers in different Asian towns throughout peak traffic occasions, the scholars wrote within the paper.
Vehicles are a major contributor to air air pollution however after the implication of our undertaking, commuters will spend less time at the roads as in comparison to previous because of primitive traffic control device, in line with the paper.
The highest section about the innovation is that it is compatible with the existing traffic lights, thus cutting down the prices and time required for implementation, the scholars stated.
The device will cost only Rs 20,000 as in comparison to Rs 8 lakh spent on different techniques, they stated.
A prototype has been evolved and tested in live traffic prerequisites. It has also been licensed for an extended trial by means of the native government, the scholars stated.
This device makes use of a digital camera to sense the converting traffic patterns round by means of shooting a picture.
The captured image is then despatched to a microprocessor, which makes use of image processing and edge detection algorithms to detect edged black and white pixels.
By quite a lot of real-time observations and analysis below different traffic density eventualities, the scholars made up our minds the volume of maximum and minimum time required for different traffic densities to clear.
"This ensures that we don't waste any time at junctions and when scaled to the city level, it would work towards ensuring that we reduce the fleet time for each commuter automatically," Shelat stated.
"We are proud of our students for developing a project like the Intelligent Traffic Light Management system, wherein they have solved the real-life problem of traffic congestion using technology," stated Monica Sagar, Principal, Shiv Nadar School.
"As part of the Robotics and IT classes in school, the students were introduced to the concepts of microcontrollers and image processing systems. It was great to witness how they translated classroom knowledge to solve a real life problem," Mark Nelson, Project Lead - IT at Shiv Nadar School added.
Air air pollution has an excessively damaging impact on an individual's health and with the expanding vehicles; this drawback is going to get worse, the scholars stated.
This relief in time spent at the road will lead to a lower within the selection of pollution released by means of the cars and thus, decreasing air air pollution, they stated.
"The idea has also been applauded by the government at the recently concluded CSIR Innovation Award for School Children-2018, where the students bagged the fifth prize," stated Sagar.
New 'smart traffic light' may reduce fleet time, air pollution
![New 'smart traffic light' may reduce fleet time, air pollution]()
Reviewed by Kailash
on
December 01, 2018
Rating:
