The Bengaluru traffic police department launched its new AI-powered ASTraM app on Saturday, which would give comprehensive insights about the city’s road traffic circumstances. The software was made available as part of Road Safety Awareness Week.
The ASTraM app, or Actionable Intelligence for Sustainable Traffic Management, intends to empower traffic police in Bengaluru with situational awareness so that they may make data-driven decisions for successful traffic management. Congestion alarms, issue reporting via a BOT (mobile application), special event management, dashboard analytics, and other features are all included.
What does Bengaluru’s Joint Commissioner of police says?
“The major goal is to give situational awareness for making data-driven decisions to improve traffic management. This includes congestion alerts, incident reporting via BOT (mobile application), special event management, dashboard analytics, and so on,” Anucheth said.
According to the police, the system would send real-time congestion notifications to jurisdictional traffic officials every 15 minutes. “These alerts are integrated with our e-attendance system, which ensures that junction jockeys and sector officers receive timely notifications. The goal is to keep various stakeholders informed for better traffic planning and management,” Anucheth explained.
The Bengaluru traffic police intend to use data analytics to anticipate traffic congestion. “This involves monitoring historic data and conducting comparative analysis with real-time traffic to enhance responsiveness to deviations from regular traffic volumes,” he added.
BOT services help to facilitate incident reporting. Anucheth stated, “The purpose of this BOT service is to report field incidents from authorised sources.” This data is subsequently shared with map services, allowing BTP’s Traffic Management Centre (TMC) to monitor on-field traffic issues and work with local traffic authorities and other stakeholders to resolve them.”
System of Features
Dashboard Analytics
This element of the programme is to deliver actionable intelligence about traffic conditions, road safety, and enforcement. The primary goal is to display the volume and quantity of traffic in terms of congestion length, vehicle count, and vehicle type in order to make data-driven decisions for optimal traffic management. Bengaluru Traffic Police (BTP) intends to use analytics to forecast traffic congestion so that any deviation from the normal volume may be managed more effectively by providing information t
o various stakeholders. According to the traffic department, this stores historical data and allows for comparison analysis with real-time traffic.
Incident Reporting using BOT
The goal of this BOT service is to report any field incident from authorised sources so that the associated information may be shared with map services, allowing the public to get real-time information. Based on this reporting, BTP’s Traffic Management Centre (TMC) monitors the on-field traffic situation and works with jurisdictional traffic authorities and other stakeholders to resolve it.
Special Event Management
This feature maintains track of all significant events in the city and provides a geographical awareness of the traffic situation, allowing for improved reaction management in terms of resource allocation and alternative measure preparation. According to traffic officials, such situations are constantly monitored centrally by TMC, ensuring that the necessary information is transmitted for prompt action.
Ambulance Tracking Application
This programme ensures that ambulances operate in a coordinated manner across the city. The control room would use the programme to track the travel of the registered ambulance from the source to the destination. This programme will also notify the control room if an ambulance is stalled in traffic for longer than 120 seconds.
This software would provide the user with the quickest feasible route as well as traffic updates. This software also has an SOS button, allowing drivers to request fast assistance.
In addition, the traffic police have installed ten drone cameras across the city to monitor traffic during peak hours in the morning and evening. The drone footage will be shown in real time on TMC’s video wall to monitor traffic and any bottlenecks along the high-density routes. This information would be communicated to jurisdictional traffic officials, who would then take appropriate action.
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