Decision support system for urban transportation carbon emission based on big data analysis

With the rapid increase in the number of motor vehicles, the problem of carbon emissions from urban transportation has become increasingly prominent, seriously affecting air quality. This paper builds a carbon emission decision support system based on the IVE model, and effectively reduces emission errors by correcting carbon emission factors. The experimental results verify the feasibility and practical value of the model in urban transportation carbon emission assessment.