Bringing the best of simulation and optimization to EV fleets
We combine a powerful agent-based simulation engine with optimization tools to help electric fleets be more efficient
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Agent-based modeling enables real-world behavior in simulation
The complex and messy nature of the real world can be represented using agent-based models
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Fleet
Battery capacity, energy consumption profile, vehicle capacity, fleet size, hybrid fleets
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Infrastructure
Depot locations, type of chargers, power constraints, parking capacity, other service functions
Mission
Ride-hail, delivery, service calls, etc.
Road Network
Congestion, speed limits, bounding box
Control Policies
Dispatch, routing, return to depot, charging, servicing, mission-specific
Financial
Full ability to accrue revenue or cost with any event or metric
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Comprehensive simulation tooling allows for actionable insights on key decisions
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
Responsive fleet control technology
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
