Bengaluru Traffic Police launch ASTraM, an AI system for insights on traffic management

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Published January 13, 2024 at 7:46pm

Update January 13, 2024 at 7:49pm

    BTP launches ASTraM (Actionable Intelligence for Sustainable Traffic Management)

    ASTraM is an intelligent traffic engine that provides insights into traffic scenario

    ASTraM offers situational awareness through data-driven decision-making

The Bengaluru Traffic Police has launched ASTraM (Actionable Intelligence for Sustainable Traffic Management) to address congestion challenges within the city.

Joint Commissioner of Police (Bengaluru Traffic), MN Anucheth, described ASTraM as an intelligent traffic engine that provides comprehensive insights into the traffic scenario in Bengaluru.

The primary goal is to enhance traffic management by offering situational awareness through data-driven decision-making. This includes features such as congestion alerts, incident reporting via the mobile application BOT, special event management, and dashboard analytics, among others, according to Anucheth.

The initiative is designed to deliver real-time congestion alerts to traffic officials in different jurisdictions every 15 minutes. These alerts are seamlessly integrated with the e-attendance system, ensuring timely notifications to junction jockeys and sector officers. The aim is to keep various stakeholders updated for better traffic planning and management, Anucheth explained.

ASTraM focuses on providing actionable intelligence regarding traffic conditions, road safety, and enforcement. The initiative analyzes parameters such as traffic volume, congestion length, vehicle count, and vehicle type to enable data-driven decisions for effective traffic management.

One notable feature of ASTraM is its special event management capability, which maintains a log of major city events. This log provides spatial insights into traffic situations during such events, allowing for better response management through resource allocation and planning alternative measures.

Bengaluru Traffic Police launch ASTraM, an AI system for insights on traffic management

https://newsfirstprime.com/wp-content/uploads/2024/01/Night-City-Traffic.jpg

    BTP launches ASTraM (Actionable Intelligence for Sustainable Traffic Management)

    ASTraM is an intelligent traffic engine that provides insights into traffic scenario

    ASTraM offers situational awareness through data-driven decision-making

The Bengaluru Traffic Police has launched ASTraM (Actionable Intelligence for Sustainable Traffic Management) to address congestion challenges within the city.

Joint Commissioner of Police (Bengaluru Traffic), MN Anucheth, described ASTraM as an intelligent traffic engine that provides comprehensive insights into the traffic scenario in Bengaluru.

The primary goal is to enhance traffic management by offering situational awareness through data-driven decision-making. This includes features such as congestion alerts, incident reporting via the mobile application BOT, special event management, and dashboard analytics, among others, according to Anucheth.

The initiative is designed to deliver real-time congestion alerts to traffic officials in different jurisdictions every 15 minutes. These alerts are seamlessly integrated with the e-attendance system, ensuring timely notifications to junction jockeys and sector officers. The aim is to keep various stakeholders updated for better traffic planning and management, Anucheth explained.

ASTraM focuses on providing actionable intelligence regarding traffic conditions, road safety, and enforcement. The initiative analyzes parameters such as traffic volume, congestion length, vehicle count, and vehicle type to enable data-driven decisions for effective traffic management.

One notable feature of ASTraM is its special event management capability, which maintains a log of major city events. This log provides spatial insights into traffic situations during such events, allowing for better response management through resource allocation and planning alternative measures.

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