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Analyzing spatiotemporal truck emission pattern using explainable machine learning: A case study in Xi’an, China

Zhipeng Peng, Hao Ji, Said M. Easa, Chenzhu Wang, Yonggang Wang, Hengyan Pan

2024Transportation Research Part D Transport and Environment17 citationsDOI

Topics & Concepts

TruckChinaComputer scienceArtificial intelligenceEngineeringTransport engineeringAutomotive engineeringGeographyArchaeologyVehicle emissions and performanceAir Quality Monitoring and ForecastingTransportation Planning and Optimization
Analyzing spatiotemporal truck emission pattern using explainable machine learning: A case study in Xi’an, China | Litcius