We combine a powerful agent-based simulation engine with optimization tools to help electric fleets be more efficient
The complex and messy nature of the real world can be represented using agent-based models
Battery capacity, energy consumption profile, vehicle capacity, fleet size, hybrid fleets
Depot locations, type of chargers, power constraints, parking capacity, other service functions
Ride-hail, delivery, service calls, etc.
Congestion, speed limits, bounding box
Dispatch, routing, return to depot, charging, servicing, mission-specific
Full ability to accrue revenue or cost with any event or metric
Cloud-based software tooling to unlock the power of Marain's simulation engine. This tooling includes capabilities to design, calibrate, run, monitor, analyze and act on simulations
Marain's simulation engine and tooling have enabled the development, testing and validation of control algorithms to optimize fleet and depot policies. These controllers use a range of technology including multi-agent reinforcement learning