Vehicle　exhaust　substantially　contributes　to　ambient　volatile　organic　compounds　(VOCs)　that　imperil　environmental　and　human　health.　The　quantitative　characterization　of　VOCs　derived　from　heavy-duty　diesel　trucks　(HDDTs)　at　a　high　spatiotemporal　resolution　is　an　important　prerequisite　of　atmospheric　quality　management.　However,　there　is　little　knowledge　about　VOC　emission　characteristics　and　accurate　control　policies　of　HDDTs　owing　to　limited　fine-grained　traffic　activity　data.　To　fill　this　gap,　this　research　aims　to　construct　a　link-level　and　hourly-based　VOC　emission　inventory　of　HDDTs　by　combining　fine-grained　trajectory　data,　detailed　vehicle　specification　information,　localized　emission　factors,　and　underlying　geographic　information.　The　emission　reduction　potentials　of　different　emission　control　scenarios　were　also　evaluated.　The　research　was　conducted　in　Hebei　Province,　a　predominant　heavy　industrial　province　in　China.　The　results　demonstrated　that　HDDTs　with　China　3　and　below　emission　standards　contributed　to　74.85%　of　the　HDDT　generated　VOC　emissions,　although　they　only　accounted　for　25.43%　of　the　HDDTs　operating　on　the　road　networks.　The　VOC　emission　characteristics　of　HDDTs　were　further　explored　at　various　temporal　and　spatial　scales.　Temporally,　the　difference　between　the　maximum　and　minimum　hourly　VOC　emissions　reached　29.19%,　and　daily　emission　changes　were　considerably　affected　by　holidays.　Spatially,　road　segments　with　higher　emission　intensities　and　statistically　significant　emission　hot　spots　were　primarily　distributed　in　intercity　highways　and　national　freeways,　reflecting　the　contribution　of　high　freight　activity　to　the　VOC　emissions.　Emission　control　scenario　simulations　demonstrated　that　improving　HDDT　emission　standards　can　reduce　VOC　emissions　by　up　to　80.06%.　The　results　of　this　study　contribute　to　a　deeper　understanding　of　the　spatiotemporal　patterns　of　VOC　emissions　from　HDDTs　and　the　effectiveness　of　emission　reduction　measures.