availability / routes
PREDICT
Nextérité offers prediction modules for parking, road events and shared mobility. These modules adapt to all territories and offer prediction horizons from a few minutes to several days.
- Parking: forecasting parking availability in structures, optimization of overall journey time (car journey then on foot)
- Shared mobility: availability of bike racks and bicycles / scooters, 2 versions: general public / manager (fleet optimization)
- Road management: prediction of journey times and incidents: traffic jams, accidents
- Public transport: estimation of bus arrival times based on traffic and external events, semantic engine for processing traveler messages for public transport
Added value
Prediction enables increased transport efficiency and significant economic gains:
Parking:
30 to 40% reduction in parking time.
Savings of €20 to 30 per month per motorist in fuel and time
Shared mobility:
20 to 30 % increase in vehicle utilization rate.
Average return on investment x 4
Traffic prediction:
10 to 15 % reduction in journey times.
Value of time saved: €15-25 / hour.
Public transport:
Improved resident satisfaction, optimized operations.
Operational savings estimated at 5 to 10%
How it works
The models developed by Nextérité rely on different probabilistic engines developed in-house, which adapt to real conditions and take into account numerous variables:
- Real-time: traffic conditions, occupancy rate, weather
- Planned or unexpected events
- Time and day of the week
The systems automatically detect breakpoints in daily patterns, and adapt accordingly, through a continuous learning system.
Temporal flexibility: ability to predict for any future period.
Use cases
Comment La Réunion gère l’information trafic en temps réel et augmente la satisfaction des résidents avec ViaPro et ViaFacil
Boosting public transport usage in Madrid with real-time and predictive information
