Blog · By Avinash Verma · 2026-04-25 · Updated 2026-10-11

Road safety in India: emerging trends in pothole detection

Potholes are more than an inconvenience. At speed, a deep pothole can burst a tyre, damage suspension or throw a rider off a two-wheeler. As vehicle and phone technology improves, so do the options for spotting potholes and warning drivers about them. Here are the main trends.

How potholes form

• Wear and tear. Cars, buses and trucks gradually wear down the road surface, and heavy vehicles do the most damage.
• Water. Rain seeps into cracks and weakens the layers beneath. In India the monsoon is the main culprit; in hill areas that see frost, freezing water can also widen cracks.
• Construction quality. Thin layers, poor materials and weak patch repairs fail sooner.

Once a pothole forms, every vehicle that hits it makes it larger.

Trend 1: sensors in vehicles and phones

Vehicles and smartphones now contain capable motion sensors. Accelerometers and gyroscopes record vertical movement and rotation; some cars also have cameras and proximity sensors. Road conditions in India can change sharply from one kilometre to the next, so systems need to cope with a wide range of surfaces.

How it works

The sensors record vertical movement and vibration. When there is an abrupt change, software checks whether it matches the pattern of a pothole rather than, say, a gear change or a door closing. If it does, the system can:

• show a warning on a screen, and
• give an audible alert by beep or voice.

Trend 2: machine learning

Raw sensor data on its own is noisy. Machine learning helps by learning the patterns that separate potholes from other bumps and by improving as more data comes in.

Its main advantages:

• Speed: data from sensors and cameras can be processed as it arrives.
• Patterns: repeated damage on the same road segments becomes visible.
• Wider use: similar techniques support other safety features such as lane departure warnings.

Trend 3: crowdsourced maps

The most useful development for ordinary drivers is sharing. When one vehicle detects a pothole:

• the hazard and its location are stored on a shared map, and
• other drivers approaching that spot can be warned.

In a country as large as India, crowdsourced data can cover far more roads than any single agency could survey, and it updates with every trip.

Trend 4: road condition monitoring systems

Beyond individual potholes, road agencies are building broader monitoring systems using survey vehicles, cameras, satellite imagery and sensor data. These help them:

• spot trends, such as roads that need repair every year
• prioritise repairs on the worst stretches
• plan budgets based on evidence rather than guesswork

Traffic monitoring

Deep learning models are also used on traffic data. They can spot unusual slowdowns, which are sometimes caused by road damage, and help navigation services suggest less congested routes.

Trend 5: joining systems together

The next step is connecting pothole data with other systems:

• Vehicle health: linking hazard data with tyre pressure and suspension monitoring.
• Navigation apps: using hazard data to warn drivers on their route.
• Driver-assistance and self-driving systems: knowing about potholes ahead will matter for cars that drive themselves.

Government programmes

Several long-running programmes shape India's roads. The Pradhan Mantri Gram Sadak Yojana (PMGSY) focuses on rural road connectivity, and the Smart Cities Mission has encouraged cities to use digital tools in municipal services. Partnerships between government, researchers and private companies can help with funding, rules that allow new monitoring methods and sharing road condition data.

What helps prevent pothole-related crashes

For drivers

• Keep tyres at the right pressure and suspension in good condition.
• Drive defensively: slow down on unfamiliar or damaged roads and keep a safe distance.
• Don't swerve sharply to avoid a pothole; slow down in good time instead.

For local authorities

• Inspect busy roads, flyovers and known trouble spots on a schedule.
• Use better materials and proper repair methods so patches last.

For data systems

• Bring together data from agencies, vehicles and the public in one place.
• Use history to predict where problems will appear next.

What to expect

• Driver-assistance systems that slow the car or adjust the suspension before a known pothole.
• Navigation tools that take road condition into account.
• Fewer tyre, suspension and crash problems linked to potholes.

For these benefits to reach the whole country, the tools need to work outside the big cities too, and authorities need to act on what the data shows.

How IndiaRoad Map helps

IndiaRoad Map is a free Android navigation app, supported by ads, that brings several of these trends together on an ordinary phone. It uses the accelerometer and gyroscope to detect potholes, speed breakers and rough road, with separate Car and Bike profiles. Raw sensor data stays on the phone; only the hazard and its location are shared. Other drivers are warned by voice and on screen about 10 seconds before the hazard, never closer than 100 m, in English or Hindi, and on the car screen through Android Auto.