Towards a machine-learning based approach for splitting cities in freight logistics context: Benchmarks of clustering and prediction models
Jihane El Ouadi, Nicolas Malhéné, Siham Benhadou, Hicham Medromi
Topics & Concepts
Cluster analysisMean squared errorContext (archaeology)Mean absolute percentage errorZoningSupport vector machinePerformance indicatorComputer scienceProcess (computing)Data miningk-means clusteringSample (material)Machine learningArtificial intelligenceOperations researchEngineeringMathematicsStatisticsArtificial neural networkGeographyArchaeologyCivil engineeringManagementOperating systemEconomicsChemistryChromatographyUrban and Freight Transport LogisticsTraffic Prediction and Management TechniquesTransportation Planning and Optimization