arventiqlabs.com Bengaluru, India
Smart Cities & Mobility · Intermediate

Public transport crowding estimator

MOB-08 · Original hackathon problem statement from Arventiq Labs

The problem

Overcrowded buses and trains are uncomfortable and unsafe, yet riders cannot tell which service is less busy.

What to build

Estimate onboard crowding from anonymous signals and show riders the least crowded option for their journey.

Success looks like

Crowding levels that match manual counts within one band on sampled trips, with no tracking of individuals.

Suggested technologies

  • Anonymous signal counting
  • Edge ML
  • Privacy engineering
  • Real-time APIs
  • Mobile UI

An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.