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AI Takes Over Bengaluru Traffic, Helps In Cutting Down On-Road Time
AI Takes Over Bengaluru Traffic, Helps In Cutting Down On-Road Time

AI Takes Over Bengaluru Traffic, Helps In Cutting Down On-Road Time

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Key takeaways

  • Bengaluru's traffic signals are set to be upgraded with AI technology for improved efficiency.
  • The new system will monitor vehicle density and adjust signal timings accordingly.
  • AI units will enable coordination between signals for smoother traffic flow.
  • Traffic signals will receive updates every six months based on changing traffic volumes.
  • The initiative aims to enhance overall traffic regulation across all 387 signals in the city.
5 min

If the reports are to be believed, all the traffic signals in Bengaluru are going to get a face shift with the help of AI.

This new system is capable of calculating the vehicle density and share those details to a central processing unit which in turn will decide the time required at each junction.

The traffic density is monitored by cameras to decide on how much time to allow vehicles to clear a signal. These signals will be adaptive, while the AI units will calculate, assess and network with other signals automatically.

The signals will be coordinated so that when the first signal is green, the 2nd should be green too, for uninterrupted movement.  Changes in the volume of traffic must be observed and the signals upgraded every six months.

As per a statement from the Additional Commissioner of Police (Traffic) B R Ravikanthe Gowda, Bangalore will undergo installations of AI means in all its 387 traffic signals for better regulation of traffic.

 “The cameras calculate vehicle density and communicate the details to a central processing unit which, in turn, decides how much time should be given at each junction,” says Gowda. 

Last month, Google revealed how they are making road travel easy for the people of Bengaluru by using state-of-the-art machine learning techniques. Now, with the initiative of state government, the riders can cut down on the time and fuel wasted in traffic jams.

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