dataJiro AI: People Counting Systems in Public Transportation

With accurate and instant passenger occupancy data, costumers can set the right number of vehicles, stops and drivers for each route. Costs decrease and passenger satisfaction increases.

Supported by: EIT Urban Mobility

Product Details



Challenge Area addressed

Pollution Reduction

Artificial intelligence model by dataJiro can find information such as the start and end of the journey, the number of passengers, vehicle speed and location with 99.9% accuracy.

The artificial intelligence model developed has achieved an extraordinary success as a people counting system not only in taxis but also in all public transportation vehicles.

With dataJiro AI:

  • Costumers can optimize the number of vehicles, drivers and stops on the route with live or historical data.
  • Costumers can prepare in advance by simulating according to different possibilities.
  • Costumers can reduce costs while increasing passenger comfort and satisfaction.

DataJiro has successfully completed the City Raptor Istanbul (Passenger Discrimination) project. The solution has been approved by the Istanbul Metropolitan Municipality.

DataJiro identified the taxi drivers who discriminated using artificial intelligence. A discrimination score was revealed for each taxi.