Eco Truck Navigation

EcoTruck Smart Navigator is an AI-driven platform developed to support the operational efficiency of electric heavy-duty vehicle fleets. It enables accurate range map estimation and intelligent routing by incorporating real-time and forecasted data on traffic, road conditions, elevation, and weather. Advanced vehicle energy consumption models are used to assess feasible trip distances under various conditions, while deep learning techniques are applied to predict changes in route viability hours in advance. This ensures that electric trucks can be routed through optimal paths with high confidence, even in unpredictable environments such as extreme cold or snow.

Unlike traditional route planning tools, EcoTruck Smart Navigator has been designed to optimize both full-route planning through Electric Truck Vehicle Routing Problem (ETVRP) algorithms and in-trip navigation through adaptive, energy-aware recommendations. By analyzing regional driving patterns and learning from historical driver behavior, the platform provides route suggestions that balance energy consumption, time efficiency, and charging requirements. Significant reductions in operational delays, range anxiety, and charging inefficiencies have been demonstrated in early trials. As the transportation industry moves toward decarbonization, the EcoTruck Smart Navigator offers a scalable, data-informed approach to enabling smarter and greener logistics operations.