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

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

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

Related Stories

Gold Stories

Next Story
Products

Koemmerling opens Navi Mumbai experience centre

Koemmerling, a brand of the profine Group, has expanded its presence in the Mumbai metropolitan region with the opening of a new experience centre in Navi Mumbai and launched its Allure S46 minimal sliding door system for the Indian market.Located in CBD Belapur, the facility was inaugurated by Peter Mrosik, Owner and CEO, profine Group, along with Farid Khan, Chairman and Managing Director, profine India, and Kamal Bajaj, CEO, profine India.The company said the new centre will showcase its portfolio of uPVC and aluminium window and door systems to architects, developers and homeowners.The ina..

Next Story
Products

India's waterproofing market nears Rs 150 bn milestone

India's waterproofing industry is approaching a market size of Rs 150 billion and is expected to surpass the $2 billion milestone, according to speakers at the 2nd India International Waterproofers Conference & Expo 2026 organised by the Waterproofers Association of India (WAI) in New Delhi.The two-day event brought together more than 20 speakers, 55 international delegates and 53 exhibition booths, with discussions focusing on climate-resilient construction, advanced waterproofing technologies and international collaboration.Inaugurating the event, Durga Shanker Mishra, former Secretary, ..

Next Story
Real Estate

Dilip Buildcon Q1 FY27 Revenue at Rs 23.78 billion

Dilip Buildcon Limited reported consolidated revenue from operations of Rs 2,378 crore in Q1 FY27, along with EBITDA of Rs 429 crore and profit after tax of Rs 128 crore.Consolidated EBITDA margin stood at 18.1%, improving from 17.1% in Q4 FY26. On a standalone basis, revenue from operations was Rs 1,930 crore, EBITDA stood at Rs 199 crore and PAT was Rs 39 crore, with an EBITDA margin of 10.3%.The company’s order book stood at Rs 27,691 crore as of 30 June 2026, compared with Rs 28,830 crore as of 31 March 2026. Roads and highways accounted for 17.1% of the order book, irrigation and water ..

Advertisement

Subscribe to Our Newsletter

Get daily newsletters around different themes from Construction world.

STAY CONNECTED

Advertisement