The　vehicle　routing　problem　is　an　important　research　topic　in　the　field　of　intelligent　transport.　The　accurate　vehicle　routing　model　is　the　key　to　solving　the　vehicle　routing　problem.　With　the　awakening　awareness　of　low-carbon　logistics　and　the　urgent　need　for　sustainable　development,　carbon　emissions　have　become　a　focus　of　attention　in　vehicle　route　modelling.　Vehicle　routing　model　based　on　real-time　road　conditions　considering　carbon　emission　(VRM-RCCE)　is　proposed　in　this　paper　to　solve　the　low-carbon　intelligent　transport.　Firstly,　the　vehicle　speed　is　identified　as　a　key　variable　that　affects　carbon　emissions　by　analyzing　the　carbon　emissions　mechanisms.　The　vehicle　speed　is　predicted　accurately　based　on　real-time　road　conditions.　Secondly,　a　vehicle　routing　model,　considering　vehicle　numbers,　the　routing　length　and　the　carbon　emission,　is　constructed.　The　carbon　emission　is　calculated　through　the　predicted　vehicle　speed.　Finally,　the　validity　of　VRM-RCCE　is　verified　using　Gurobi.　Optimal　routing　schemes　are　obtained　using　ant　colony　optimization　algorithm.　The　VRM-RCCE　can　effectively　assist　in　solving　the　vehicle　routing　problem,　providing　a　powerful　theoretical　support　and　practical　tool　for　intelligent　transport　management.　©　2024　IEEE.