Can AI Help Save Pedestrian Lives in Our Cities?
The conversation around AI often focuses on saving lives through cancer detection, drug discovery, or autonomous vehicles. Yet one of the biggest opportunities may be much closer to home: helping ordinary pedestrians survive the daily chaos of urban streets.
Take Bengaluru. Even in relatively affluent areas like Indiranagar, a pedestrian faces a combination of hazards:
- Potholes and broken pavements.
- Encroached footpaths.
- Delivery riders and couriers speeding on wrong sides.
- Autorickshaws stopping unpredictably.
- Poor street lighting.
- Vehicles jumping signals.
- Construction debris.
- Stray animals.
- Waterlogging during rains.
AI can help at four different levels.
1. AI as a “Pedestrian Guardian”
Imagine a smartphone app or smart glasses continuously scanning the environment.
It could:
- Warn of approaching vehicles from behind.
- Alert when a rider is coming the wrong way.
- Detect open manholes, potholes, or broken footpaths.
- Vibrate when a pedestrian is about to step into traffic.
- Guide visually impaired or elderly users around obstacles.
Instead of reacting after an accident, AI would provide real-time risk alerts.
2. AI Mapping Every Hazard in the City
Every smartphone camera, dashcam, CCTV, and delivery vehicle can become a sensor.
AI can automatically identify:
The city would receive a continuously updated “pedestrian risk map” showing:
- Potholes.
- Missing footpaths.
- Dangerous intersections.
- Dark stretches.
- Illegal parking.
- Signal violations.
- Streets with the highest accident probability.
- Areas requiring urgent repairs.
- Locations where streetlights are malfunctioning.
Instead of annual surveys, cities would have live intelligence.
3. AI-Powered Traffic Enforcement
Today’s traffic enforcement is largely manual
AI-enabled cameras can:
- Detect wrong-side driving.
- Identify red-light jumping.
- Track repeated offenders.
- Detect riding on footpaths.
- Spot overspeeding near schools and markets.
Violations could be automatically documented and processed, increasing compliance without requiring thousands of traffic personnel.
4. AI for Urban Planning
The most powerful use of AI is not warning people about danger—it is removing the danger itself.
By analysing:
- GPS traces,
- pedestrian movement,
- accident records,
- CCTV feeds,
- pollution levels,
- lighting conditions,
AI can identify:
- where zebra crossings are needed,
- where footpaths should be widened,
- where speed breakers are missing,
- where signal timings are unsafe for elderly pedestrians.
The result is safer street design rather than simply safer behaviour.
5. AI for Senior Citizens
For older adults, who may have slower reflexes and reduced night vision, AI can be especially valuable.
A mobile assistant could:
- Recommend the safest walking route rather than the shortest.
- Avoid poorly lit roads.
- Avoid roads with high traffic speeds.
- Warn about uneven surfaces.
- Share live location with family members during walks.
For a 70-year-old pedestrian, this could significantly reduce fall and collision risks.
The Bigger Question
The real challenge is not whether AI can identify potholes, rogue riders, or dangerous junctions. Technically, it already can.
The question is whether cities will use AI to prioritize pedestrians rather than vehicles.
For decades, urban technology has focused on moving more cars faster. The next generation of AI could instead focus on helping the most vulnerable road user—the person on foot.
In a city like Bengaluru, where a pedestrian often feels like an obstacle in the transport system rather than its primary beneficiary, that may be one of AI’s most life-saving applications.
The real question is not whether AI can do this.
The question is whether we are willing to use AI to prioritise pedestrians instead of vehicles.
Perhaps one of the most life-saving applications of AI won’t be in a laboratory or a hospital.
It may be on the footpath outside your home.
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