Predictive Maintenance in Logistics Fleets
Published: 16 June 2026| Version 1 | DOI: 10.17632/j7ws452sr7.1
Contributors:
Małgorzata Grzelak, Daniela Voicu, Ramona-Monica Stoica, Radu VilauDescription
The set contains 16 features describing vehicles of six types: passenger cars, SUVs, vans, trucks, buses, and motorcycles — each type represented by approximately 9,200–9,600 examples. The data includes both technical vehicle characteristics (engine displacement of 800–2,500 cc, fuel type, transmission type) and operational information (mileage of 30,000–80,000 km, age of 1–10 years, tire condition, service and accident history). The target variable is a binary label Need_Maintenance, indicating whether a vehicle requires servicing — the classes are nearly perfectly balanced (approximately 28,350 cases each). The dataset is ready for use in building classification models.
Files
Categories
Transport, Logistics