Bengaluru Traffic Police (BTP) and the Bangalore Apartments' Federation on September 30 signed a memorandum of understanding (MoU) to enhance road safety, reduce congestion, and share real-time traffic alerts.
“Under this MoU, BTP will share real-time traffic updates and alerts with BAF, allowing apartment residents to plan their commutes more efficiently,” said MN Anucheth, Joint Commissioner of Police (Bengaluru traffic), said.
Traffic police will share data analysis and insights with the federation to help optimise traffic management, he said.
Both sides will work together to identify traffic bottlenecks and ensure smoother traffic flow. Workshops, awareness campaigns and events will be organised to educate residents on road safety and responsible driving.
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“Our teams will also attend BAF cluster meetings to offer training and awareness on road safety and traffic rules. We will provide hyper-local updates and traffic alerts within a 5-Km radius,” the police officer said.
BAF has more than 1,300 apartment complexes as members. “We are planning two levels of integration: real-time traffic alerts and location-based information mapping members to their local traffic police inspectors,” BAF president Vikram Rai said.
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The MoU also includes plans to integrate accident and traffic violation alerts into a single platform, enabling residents to upload accident photos.
The agreement focuses on three main areas — technology integration for real-time alerts, local engagement through meetings with traffic police, and education and awareness programmes, he said.
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Bengaluru has a road network of 14,000 km, a population of 14 million, 12 million registered vehicles and 40,000 intersections.
Also, read: Bengaluru traffic police launches AI-powered ASTraM; to provide congestion alerts
Traffic police is crowdsourcing traffic data from platforms such as Google Maps, MapMyIndia, OSM, and TomTom, and travel data aggregators such as Ola, Rapido, and Namma Yatri. This data supports real-time congestion monitoring, route suggestions, and future congestion predictions, along with mitigation strategies.
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