Bengaluru traffic police launch AI-backed ASTraM app

Congestion Alerts

This initiative intends to provide real-time alerts on congestion to the jurisdictional traffic officials every 15 minutes. This is integrated with the traffic department’s e- attendance system so that alerts are sent to the junction jockeys and sector officers. This alert also provides updates on congestion to various stakeholders for better traffic planning and management.

Dashboard Analytics

This feature of the software intends to provide actionable intelligence regarding the traffic condition, road safety and enforcement. The main purpose is to tabulate the volume and quantum of traffic in terms of congestion length, vehicle count, vehicle type, to make data driven decisions for effective traffic management. Using the analytics, Bengaluru Traffic Police (BTP) also intend to predict traffic congestion so that any deviation from the regular volume can be handled better by disseminating information to the various stakeholders. This keeps track of historic data, enabling a comparative analysis with real-time traffic, according to the traffic department.

Incident Reporting using BOT

The purpose of this BOT service is to report any field incident from the authorized sources so that corresponding information is shared with the map services, which provides the public with real-time information. Based on this reporting, BTP’s Traffic Management Center (TMC) monitors the on-field traffic situation for resolving the same in coordination with the jurisdictional traffic officials and other stakeholders.

Special Event Management

This feature keeps a log of all major events in the city and gives a spatial understanding of the traffic situation for better response management in terms of allocating resources and planning other alternative measures. According to traffic officials, such events are continuously monitored centrally from TMC, ensuring that required information is disseminated for quick action.

Ambulance Tracking Application

This application is to ensure coordinated movement for the ambulances across the city. Through the application, the control room would be monitoring the movement of the registered ambulance from the source to the destination. This application would also alert the control room whenever an ambulance is stuck for more than 120 seconds in traffic.

The shortest possible route and traffic situation would be communicated to the driver through this app. This app also includes an SOS button for the drivers to receive immediate intervention.

In addition, the traffic police have also deployed 10 drone cameras for traffic monitoring across the city to monitor the traffic situation during morning and evening peak hours. The drone feeds will be viewed in real-time on TMC’s video wall to monitor congestion and possible bottlenecks along the high-density corridors. This information would be relayed to jurisdictional traffic officials for necessary actions.