To　explore　the　influence　of　emergency　evacuation　signs　on　passengers＇　behavior　during　subway　fires　and　to　enhance　evacuation　efficiency　sustainably,　this　study　proposes　a　dynamic　emergency　evacuation　sign　scheme.　Utilizing　a　building　information　modeling　(BIM)　and　virtual　reality　(VR)　technology　simulation　platform,　two　schemes-current　static　signage　and　a　novel　dynamic　signage　system-are　developed　and　evaluated.　The　research　focuses　on　four　scenarios　combining　varying　crowd　conditions　(2:8　and　5:5)　with　signage　types.　Through　experiments,　we　compare　the　performance　of　the　current　signage　and　the　new　dynamic　signage　in　terms　of　evacuation　efficiency　and　wayfinding　difficulty.　The　results　indicate　that　the　dynamic　identification　system　significantly　improves　evacuation　efficiency,　reduces　incorrect　route　choices,　and　minimizes　passenger　confusion.　Particularly　in　a　complex　scenario　with　a　2:8　crowd　state,　the　dynamic　signage　effectively　helps　passengers　avoid　the　negative　impacts　of　group　decision　errors.　Additionally,　individual　characteristics　such　as　age,　gender,　spatial　ability,　and　evacuation　training　experience　significantly　influence　evacuation　performance.　By　reducing　risks,　enhancing　urban　resilience,　and　optimizing　evacuation　processes,　this　study　contributes　to　sustainable　urban　infrastructure　safety.　The　findings　provide　a　theoretical　basis　for　designing　sustainable　emergency　signage　systems　that　address　the　social,　economic,　and　environmental　aspects　of　resilience　in　urban　transportation.