This　paper　proposes　a　novel　fuzzy　comprehensive　evaluation　model　based　on　the　2-tuple　linguistic　model　and　grey　target　decision　method　(2TL-GTD)　for　evaluating　the　comprehensive　application　effect　of　the　connected　vehicle　system.　Since　the　evaluation　indicator　system　of　the　research　problem　belongs　to　multi-source　heterogeneous　data,　the　original　data　is　firstly　converted　into　a　unified　2-tuple　form　using　linguistic　2-tuple　model,　which　can　avoid　information　distortion　or　loss.　Second,　the　deviation　maximization　method　is　used　to　objectively　determine　the　weight　of　each　indicator.　Then,　the　grey　target　decision-making　method　is　used　to　deal　with　the　uncertain　information　in　the　data　and　select　the　optimal　solution　according　to　the　bullseye　degree,　which　allows　a　comprehensive　evaluation　of　the　application　effectiveness　of　the　connected　vehicle　system.　Taking　the　tunnel　scenario　as　an　example　to　verify　the　effectiveness　of　2LT-GTD,　it　is　found　that　in　the　tunnel　scenario,　the　connected　vehicle　system　can　remind　the　driver　to　prepare　in　advance,　effectively　reducing　traffic　accidents　and　pollutant　emissions.　Based　on　the　results,　it　can　provide　technical　improvement　directions　for　relevant　technical　departments　to　achieve　the　coordinated　development　of　safe　driving,　efficient　driving　and　ecological　driving.