Fast developing countries such as Korea do not have properly maintained activity data and emissions rate information. Therefore, it is difficult to establish an improved emission inventory (EI) and subsequently estimate emissions from onroad vehicles. The focus of this research is to bridge the gap between transportation activity and multi-pollutant onroad emissions models under Korean conditions, using state-of-the-art methods developed and tested elsewhere. The objectives are to: (1) To identify and establish assumptions and methods for analysis of emissions applicable to Korean condition; (2) To develop and calibrate MOVESLite-K for Korean condition in the light of NC State developed MOVESLite to reduce computational overhead arising from using conventional emissions models e.g. MOVES; (3) To Integrate MOVESLite-K in a mesoscopic traffic model (DTALite) for the city Suwon, Korea; (4) To evaluate different transportation management strategies for the city of Suwon at high spatial and temporal resolution in the integrated-framework.