This article is written by Nisarag Pandya, CEO and Founder of DriveBuddy AI.India’s roads are a paradox of growth and danger. As we build world-class highways, our accident statistics tell a grim story. One of the most common and preventable incidents is a rear-end collision. According to a 2026 report by the Ministry of Road Transport and Highways (MORTH), 72 percent of road deaths in India are due to three major types of accidents: rear-end collisions, head-on collisions, and pedestrian collisions. In 2024, the death toll rose to 1.77 lakh, about 485 lives lost every single day.The sad fact is that major road fatalities are caused by driver errors, which also have a share of technical and system failures. While India is committed to the global goal of halving traffic deaths by 2030, achieving this will require rapid industrial deployment, technology and strong regulations.
Understanding the challenge on Indian roads
When we look at the raw data of vehicles plying on Indian roads, the ‘challenge’ is not just about speed. It is about predicting chaos. In Western markets, Forward Collision Warning (FCW) systems are trained to detect a car braking easily at a traffic light. In India, the system must interpret a tuk-tuk that suddenly decides to turn right from the left lane, a pedestrian stepping out from behind a bus, or filter a speeding bike between lanes.A technical constraint is a false positive. If an ADAS is too sensitive, it will beep continuously for every stray cow or near-miss overtake, and drivers will simply turn it off. The challenge is not just to figure something out. It is understanding the object’s intent in a heterogeneous environment. We need systems that recognize that a person on the side of the road is a potential hazard, not just a stationary object.
how ADAS blocks the rear end. collide
We have to move beyond the idea of ADAS as just a camera. It’s a digital co-driver that never engages. It works in three steps:First, the environmental concept. Using a fusion of sensors, typically a camera and radar, the system is continuously calculating time-to-collision (TTC). It’s not just looking at the car in front. It is looking at the car Three Cars ahead, watching the ripple effect of brake lights.Second, risk assessment. The system knows that hard braking is a language in India. It distinguishes between ‘traffic calming’ slow downs and ’emergency’ stops. If the driver’s response is too slow based on their current speed and distance traveled, the system flags it.Third, intervention. The first layer is an audio-visual alert: ‘Warning! Break!’ But the real game changer is the second layer: the advanced emergency brake. Using a fusion of radar and camera sensors to create an impression of the surrounding environment, AEB performs automatic braking and brakes as suggested by the perception system. This significantly reduces reaction time as the driver does not need to move his foot from the accelerator to the brake. The system encourages idling a second earlier. In the world of rear-end collisions, that split second is the difference between a near miss and a pileup.
From luxury to national mandate
ADAS has long been a luxury feature. But now the industry is pushing for it to become a standard, or even mandatory, safety net. This is happening because the economy has changed. Hardware that used to cost a premium camera and processor for the luxury car buyer is now available at a price that makes sense for commercial fleets and mass-market vehicles.We’re seeing a shift away from passive safety (airbags, which protect you). during a crash) for active safety (ADAS, which prevents a crash altogether). For a logistics company, a bump in the back of a truck doesn’t just mean a dented bumper. This means downtime, legal liability, cargo loss, and skyrocketing insurance premiums.This mandate starts from 2027 for the commercial vehicle industry. They are one of the biggest adopters of AI-powered camera systems that watch the road and warn the driver that there is a better return on investment than paying for a crash. When you look at countries that have mandated AEBS (Advanced Emergency Braking Systems), the reduction in rear-end crashes is dramatic. India’s unique traffic density makes it not just a luxury but a necessity to survive on our highways.From January 1, 2027, the Indian government has mandated basic ADAS features, specifically AEB and lane departure warning, drowsy warning, blind spot and pass information systems for all new passenger vehicles with more than eight seats, as well as trucks and buses (categories M2, M3, N2, and N3). This marks a significant shift from optional safety to basic safety. By targeting heavy commercial vehicles, the government is addressing the most vulnerable segment of the national fleet and standardizing safety technology for the mass market.
The road ahead
The future is a partnership between human intuition and machine precision. We are moving towards a zero collision corridor.Imagine a highway where every truck and bus is equipped with a system that religiously maintains a safe distance, even if the human driver is momentarily fatigued. These systems can feed data into a control centre, creating heat maps of ‘hard-breaking hotspots’, areas where accidents are likely to occur, so that infrastructure authorities can fine-tune road designs or signage.The aim is to standardize a ‘safety score’ based on ADAS data for each driver and vehicle. This will shift the culture from ‘reactive driving’ to slamming on the brakes to ‘predictive driving’. It won’t happen overnight, but every rear-end collision we prevent creates a template for how Indian roads can eventually be as safe as they are wide.Disclaimer: The views and opinions expressed in this article are solely those of the original author and do not represent any of them. The Times Group or its employees.
