These signals will have a 360-degree camera installed which will collect data from all the arms of the junction.
You are on your way to attend a meeting or have just stepped out to meet a friend, but your plans come crashing down when you get stuck in a traffic jam for a tiresome amount of time.
Those of us who live in Bengaluru are very familiar with this situation! Whether you commute by a public transport, car, or a two-wheeler, this is a situation you face on a daily basis, and sometimes, the traffic signals add to your distress when you have to wait for a long time at a red signal, although the road ahead is completely clear.
The Bengaluru City Traffic Police (BCTP) have decided to lend a helping hand and end these woes by introducing smart adaptive signals that will glow red or green by sensing the volume of traffic on the road.
These signals will have a 360-degree camera installed which will collect data from all the arms of the junction, form a virtual loop about it and allocate the ‘go’ time accordingly.
A trial of 35 junction signals has already been carried out—the old fixed-time signals were replaced by the dynamic, data-driven signals in December 2017. Seeing the success of these signals, the BCTP has decided to introduce 453 such signals across the city. 353 of these will be a replacement for the existing signals, and 100 will be introduced anew.
The State Cabinet cleared around RS 85 crore for this project last week, according to The Hindu.
R Hitendra, the Additional Commissioner of Police (Traffic) told The Hindu, “we are finalising the technical specifications for the tenders, which will be called soon.”
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In the second phase of the project, BCTP is set to upgrade these dynamic adaptive signals to create a network with neighbouring signals to the flow of traffic is even smoother. By communicating oncoming traffic to the next traffic signal, these smart traffic signals will ease congestion further, creating a smoother way for vehicles.
Featured image for representative purposes. Sources: Max Pixel/ Pixabay.
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