KSRTC to introduce 1,044 AI-based buses to avoid crashes

12 Jun 2021 CW Team

The Karnataka State Road Transport Corporation (KSRTC) intends to use Artificial Intelligence (AI)-based technology to reduce accidents and safeguard passengers and bus crews.

Tenders for the installation of an AI-powered Collision Warning System (CWS) and Driver Drowsiness System (DDS) in 1,044 buses was recently released by the corporation.

Forward Looking Collision Warning (FLCW), Lane Departure Warning (LDW), and Virtual Bumper are among the features that CWS will offer, along with alerts. By the end of the month, the tender should be completed.

There are 400 non-AC night buses among the 1,044 buses, and the rest are premium AC buses.

The FLCW system will detect an impending collision and notify the driver that he has entered the unsafe distance zone, according to KSRTC officials.

Vehicle detection will be provided by AI-based camera sensors with a range of at least 150 m at any speed, allowing the driver to be effectively warned.

It will issue a warning based on a calculation of the Time-To-Collision (TTC) with the vehicle ahead, which will include two-three wheelers, pedestrians, and cyclists.

At a TTC of up to 2.5 to 3 seconds, the alarm will be triggered. It will also be capable of operating at speeds of up to 120 kmph.

The system will issue an audible and visual warning when the vehicle accidentally leaves the driving lane or when the lane dividers are unavailable.

In extremely low-speed situations, such as traffic lights, jams, and parking scenarios, VB generates an alert prior to a possible collision with the vehicle in front.

The distance sensitivity level of VB can be adjusted between 1 to 4 m, as well as when the vehicle speed is less than 5 kmph.

DDS will ensure that its drivers do not fall asleep at the wheel. It will track the driver's eye movements and sound an alarm if he appears to be sleeping.

The AI-based CCTV system will continue to monitor the driver's facial expressions. If the driver ignores the alert, a message will be sent to the KSRTC central control room, which will be beneficial for night services.

Image Source

Also read: Smart traffic system project in Meerut finally takes off

Also read: Smart roads in Cochin to be developed despite Covid-19

The Karnataka State Road Transport Corporation (KSRTC) intends to use Artificial Intelligence (AI)-based technology to reduce accidents and safeguard passengers and bus crews. Tenders for the installation of an AI-powered Collision Warning System (CWS) and Driver Drowsiness System (DDS) in 1,044 buses was recently released by the corporation. Forward Looking Collision Warning (FLCW), Lane Departure Warning (LDW), and Virtual Bumper are among the features that CWS will offer, along with alerts. By the end of the month, the tender should be completed. There are 400 non-AC night buses among the 1,044 buses, and the rest are premium AC buses. The FLCW system will detect an impending collision and notify the driver that he has entered the unsafe distance zone, according to KSRTC officials. Vehicle detection will be provided by AI-based camera sensors with a range of at least 150 m at any speed, allowing the driver to be effectively warned. It will issue a warning based on a calculation of the Time-To-Collision (TTC) with the vehicle ahead, which will include two-three wheelers, pedestrians, and cyclists. At a TTC of up to 2.5 to 3 seconds, the alarm will be triggered. It will also be capable of operating at speeds of up to 120 kmph. The system will issue an audible and visual warning when the vehicle accidentally leaves the driving lane or when the lane dividers are unavailable. In extremely low-speed situations, such as traffic lights, jams, and parking scenarios, VB generates an alert prior to a possible collision with the vehicle in front. The distance sensitivity level of VB can be adjusted between 1 to 4 m, as well as when the vehicle speed is less than 5 kmph. DDS will ensure that its drivers do not fall asleep at the wheel. It will track the driver's eye movements and sound an alarm if he appears to be sleeping. The AI-based CCTV system will continue to monitor the driver's facial expressions. If the driver ignores the alert, a message will be sent to the KSRTC central control room, which will be beneficial for night services. Image Source Also read: Smart traffic system project in Meerut finally takes off Also read: Smart roads in Cochin to be developed despite Covid-19

Infrastructure Urban

27 Oct 2025

Coal Ministry Achieves Milestones under Special Campaign 5.0

The Ministry of Coal and its Public Sector Undertakings (PSUs) have achieved notable milestones under the Special Campaign 5.0, focusing on cleanliness, operational efficiency, and sustainability across the coal sector. During the implementation phase from 2–31 October 2025, over 1,205 sites were cleaned, covering 68,04,087 sq ft, nearing the target of 82,51,511 sq ft. Scrap disposal of 5,813 MT against a target of 8,678 MT generated Rs 228.7 million in revenue. In addition, 1,11,248 physical and 30,331 electronic files were reviewed, with 74,123 weeded out or closed. Key initiatives showc..

Infrastructure Energy

27 Oct 2025

Vesting Orders Issued for Three Coal Blocks under Commercial Auctions

The Ministry of Coal’s Nominated Authority has issued vesting orders for three coal blocks under commercial coal block auctions on 23 October 2025. The Coal Mine Development and Production Agreements (CMDPAs) for these mines were earlier signed on 21 August 2025. The three blocks include Rajgamar Dipside (Deavnara), Tangardihi North, and Mahuagarhi. Of these, two are partially explored while one is fully explored, with a combined peak rated capacity of around 1 MTPA and geological reserves of approximately 1,484.41 million tonnes. These mines are expected to generate annual revenue of abou..

Infrastructure Urban

27 Oct 2025

TEC, IIT-Hyderabad Partner to Boost 6G and Telecom Standards

The Telecommunication Engineering Centre (TEC), technical arm of the Department of Telecommunications (DoT), has signed a Memorandum of Understanding (MoU) with the Indian Institute of Technology Hyderabad (IIT Hyderabad) for joint research and technical collaboration in advanced telecom technologies and standardisation. The partnership focuses on developing India-specific standards and test frameworks for next-generation networks, including 6G, Artificial Intelligence (AI), and Non-Terrestrial Networks (NTNs). It also aims to enhance India’s participation in international standardisation f..