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WHY IT MATTERS
Inefficient assignments turn a good timetable into a costly operation.
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Vehicles covering unnecessary distance every trip
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Unbalanced workloads across drivers and fleet
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No visibility into what each assignment costs
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Inefficiencies here flow directly into rosterinf
01
Bring in your timetable
Cermoni works with your existing GTFS timetable or with a demand-based timetable generated inside the system. Route structures, garage locations, vehicle types, and driver categories are defined as the starting point for optimization.
02
Optimize vehicle and driver assignments
The system calculates how vehicles move between trips throughout the day — across different lines, terminals, and garages — while minimizing dead mileage and balancing workloads under your operational constraints.
03
Compare scenarios and finalize the plan
Multiple scheduling scenarios can be generated with different parameters and compared across vehicle count, driver count, dead mileage, and total cost — before any assignment goes into operation.
HOW IT WORKS
From a finished timetable to a fully assigned operation
KEY CAPABILITIES
Everything you need to plan smarter
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Dead Mileage Optimization
Keep non-revenue mileage as low as possible
Cermoni calculates how vehicles move between trips, terminals, and garages throughout the day — assigning them across lines while minimizing the distance traveled without passengers. You define the cost priorities; the system finds the right balance.
Tracks vehicle movements across trips, garages and routes
Lets you define cost priorities rather than applying a fixed rule
Balances dead mileage, waiting time and total operating cost based on your parameters
Flexible Constraints
Built around how your operation actually works
The scheduling engine supports different garages, vehicle types, driver types, working rules, and availability windows — all configurable through the interface. The optimization adapts to your network's specific structure, not a generic model.
Supports multiple garages, vehicle types and driver categories
Working rules and availability constraints defined per operation
Configurable through the interface without custom development
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Scenario-Based Schedule Generation
Test different scenarios before locking in a plan
Generate multiple scheduling scenarios with different layover rules, cost assumptions, and resource targets — then compare them across vehicle count, driver count, dead mileage, and total cost before deciding.
Compare scenarios across vehicle count, driver count, and total cost
Test different layover rules and resource minimization strategies
Choose the plan that fits your operational priorities and budget
REFERENCES
What teams achieve with Cermoni
Real results from transport authorities and operators who shifted from manuel to digital public transportation planning.
See how cities use Cermoni to turn data into better operations.
Read all the case studies
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