Key elements of the use case
How to predict crowds in vehicles accurately and rigorously? The programming interface (API) that we have developed, Occupancy API, is easy to integrate, and improves the passenger experience and regulates attendance in public transport.
Challenge
The Covid-19 pandemic has reduced the attractiveness of public transport, with citizens fearing closed and saturated spaces. Most transport networks have not returned to their pre-crisis ridership levels.
To remedy this, the city of Orléans is working with Citio to predict on-board crowds, communicate the predictions to travelers via the TAO mobile application, and better distribute the load in the vehicles; and this in particular thanks to Occupancy API.
Testimony
“With Occupancy API, travelers can now know how busy the next trips will be. Thanks to its precision during predictions, users are gaining more and more confidence in our network. The API information is integrated into our TAO Orléans application, it responds to a strong demand, since the health crisis, to be able to choose vehicles with less crowds.”
Guillaume Stern, Service Mobility offer at City of Orléans
Benefits
- Predict occupancy on board vehicles
- Communicate on the on-board occupancy
- Optimize occupancy on board vehicles
- Distribute the load between the different races
- Improve passenger comfort and satisfaction
How to download the use case
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