Abstract: Based on the data of highway gantry, 2019 freight transport special survey, and vehicle energy consumption query platform, this study comprehensively considers the differences in vehicle energy consumption under different models and saturation degrees of different road sections, constructs a refined measurement model of highway network carbon emissions based on the improvement of the Intergovernmental Panel on Climate Change(IPCC), and conducts an analysis in Shandong Province as an example. An example analysis is carried out in Shandong Province. The results show that: from the perspective of vehicle type, the proportion of carbon emissions from passenger cars and trucks on motorways is 45.29% and 54.71% respectively, and the main sources of carbon emissions are Class Ⅰ passenger cars, Class Ⅰ trucks and Class Ⅵ trucks, etc. From the distribution of road network, the high carbon emission sections are mainly found in the bypass highways of densely populated and economically developed cities, and the sections are adjacent to the comprehensive transport hubs (high-speed rail, airport and port), Jinan-Qingdao and Beijing-Shanghai transport corridor, etc. The spatial clustering distribution characteristics are shown. In terms of regional distribution, high carbon emission areas are mainly concentrated in the provincial capital economic circle with Jinan central city as the core and Jiaodong economic circle with Qingdao central city as the centre, and show a decreasing trend from the centre of the economic circle. The study can provide theoretical and data support for the governance of regional transport carbon emission-related policies and the study of regional transport "carbon peak" time point, which is of great practical significance for promoting the realisation of regional transport dual-carbon goals.