Optimization
GeoScolar Optimization Engine
An architecture designed to consider several school transportation constraints simultaneously in order to propose route scenarios — depending on the deployed configuration.
An architecture compatible with recognized approaches.
Designed to integrate proven combinatorial optimization techniques, adapted to the realities of school transportation.
Vehicle Routing Problem (VRP)VRP with Time WindowsConstraint ProgrammingCombinatorial optimizationHeuristics
Real constraints, not theoretical ones.
- Vehicle capacity
- School schedules
- Travel time
- Time windows
- Pick-up locations
- Vehicle / passenger compatibility
- Special needs
- Vehicle and driver availability
- Seat count and wheelchair spaces
- Grouping rules
Real vehicle capacity
Vehicle / passenger compatibility
Wheelchair spaces required
Multi-school grouping
Desired maximum route duration
Strict time windows
Estimate your optimization potential.
A quick overview — adjust it with your own numbers.
km
$
12%
Indicative estimate
Kilometres potentially avoided / year
103 680 km
Indicative annual savings
93 312 $
Indicative reduction in driving hours
2 962 h
Estimates are indicative only. Actual results depend on your organization's data, constraints and operating conditions.