Logistics Depots and Vehicles: Geospatial Data for Electrification

With the growing shift toward electrifying logistics fleets, reliable datasets on depot locations and fleet sizes are critical for grid expansion and charging infrastructure planning.We use high-resolution aerial imagery combined with geospatial data and apply AI methods to create a robust data foundation for decision-makers.

The results are particularly relevant for distribution system operators and grid expansion planning. They are also valuable for all stakeholders and companies seeking a better understanding of the logistics sector, including fleet analyses, as well as for research and scenario calculations.

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“With our AI tool DETECT, we identify logistics depots from aerial imagery, detect individual vehicles, and classify them. Based on this data, we estimate future charging demand, including simultaneity.”

Get in Touch with Daniel Godin and the Geodata-Lab to arrange a non-binding initial consultation.

Our Offer

Identification of logistics depots
We locate existing depot sites using aerial imagery and geospatial data.

Detection of individual vehicles
Our deep-learning model automatically detects logistics vehicles—either nationwide or within defined regions for more efficient processing.

Vehicle classification
Detected vehicles are categorized into classes such as vans, medium trucks, and heavy-duty trucks. This classification is essential for calculating charging demand and enables a detailed fleet analysis.

Estimation of charging power and simultaneity
Vehicles are matched with typical charging power and simultaneity factors per category, allowing us to estimate regional peak load requirements.

Creation of insightful visualizations and reports
Depending on your needs, we develop clear visualizations such as heatmaps, charts, and reports that highlight key metrics—for example, the spatial distribution of depots, vehicle classes, and charging potential. We also support seamless integration of our data into your visualization or front-end applications.

Customized data preparation
We prepare our data in a format that is tailored to your requirements.

Our many years of experience in the field of geodata analysis and expertise in renewable energies form the basis of our services. We work transparently, with up-to-date geodata and in accordance with legal requirements.

 

Figure: Automated detection of depot locations as well as identification and classification of logistics vehicles in aerial imagery using our AI tools.
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