The　emergency　evacuation　sign　system　is　crucial　for　the　safety　and　sustainable　development　of　urban　rail　transit.　Dynamic　emergency　evacuation　signs,　which　offer　real-time　guidance　during　emergencies,　are　gaining　prominence.　There　is　an　urgent　need　to　develop　a　dynamic　system　that　balances　perceptual　and　cognitive　visibility.　Against　this　backdrop,　this　study　built　a　simulation　experiment　platform　based　on　BIM,　Unity,　and　VR.　Eight　experimental　scenarios　were　created　using　the　platform:　two　emergency　events　(fire/fire　accompanied　by　power　outage)　x　four　emergency　evacuation　signage　systems　(static　emergency　signage　system/dynamic　dissuasion　emergency　signage　system/dynamic　dissuasion　emergency　signage　system　with　flashing/dynamic　dissuasion　emergency　signage　system　with　flashing　and　auxiliary　information),　and　experimental　testing　was　completed.　The　evacuation　behavior　parameters　of　39　passengers　were　extracted　and　used　to　construct　a　multidimensional　indicator　system.　Subsequently,　generalized　estimation　equations　were　applied　to　investigate　the　impact　mechanism　of　signage　systems　on　passengers＇　evacuation　behavior.　Finally,　the　coupling　coordination　degree　model　was　used　to　quantitatively　evaluate　the　coupling　coordination　level　of　four　emergency　evacuation　signage　systems　under　different　emergencies.　Results　indicate　that　compared　to　static　signage　system,　the　three　sets　of　dynamic　identification　system　schemes　have　a　positive　impact　on　passenger　evacuation　behavior　and　significantly　reduce　the　number　of　decision-making　errors.　Particularly　in　high-risk　scenarios　involving　fire　accompanied　by　power　outages,　the　dynamic　dissuasion　emergency　signage　system　with　flashing　and　auxiliary　information　outperforms　others　by　achieving　a　better　balance　of　reliability,　efficiency,　and　safety.　This　study　investigates　the　efficacy　of　various　emergency　evacuation　signage　systems　across　diverse　emergency　scenarios,　offering　insights　for　the　enhanced　design　of　such　systems　and　thereby　fostering　the　sustainable　development　of　urban　rail　transit　infrastructure.