In a LinkedIn publish, Pitti shared his private expertise of being caught on Bengaluru’s Outer Ring Street (ORR) for greater than two hours on a Saturday, resulting in this initiative.
“I used to be caught at one choke-point at ORR, the place I spent 100 minutes struggling to grasp why there isn’t a traffic-light or cop right here,” he stated.
“I’m committing INR 1 Cr to search out Bangalore Choke-Factors through Google Maps & AI. I don’t need another “Bengaluru Visitors Memes or Rant”. I WANT TO FIX IT,” he added.
Investments in place
The funding will permit the launch of an open-source, public-interest AI initiative to determine and map Bangalore’s worst traffic choke points.
The funds consists of hiring 1-2 senior ML (Machine Studying)/AI (Synthetic Intelligence) engineers, superior expertise, graphic processing unit (GPUs), area pilots, satellite tv for pc imagery and so forth. to record all choke factors and their precise timings in a month.
Tech behind this
On April 9, Google Maps launched geospatial analytics on its platform enabling roads administration insights that assist public sector and highway authorities analyse site visitors knowledge and enhance roads with historic and real-time site visitors data.
For instance, site visitors authorities can use the insights to determine accident-prone areas and add security measures similar to velocity bumps or cease indicators. They will additionally construct fashions that forecast site visitors circumstances to mitigate congestion earlier than it even happens.
The implementation
Pitti stated he’ll implement this mission after the Bengaluru traffic police or Bruhat Bengaluru Mahanagara Palike present entry to their software programming interface (API) and assign a devoted staff to the mission.
He urged residents to tag the involved authorities within the Bengaluru traffic division, and ML/AI professionals to hold ahead the initiative.
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