Effective　hazard　perception　training　is　crucial　for　improving　road　safety,　yet　the　factors　influencing　its　efficacy　remain　underexplored.　This　study　assessed　the　efficacy　of　an　interactive　hazard　perception　training　program　utilizing　Virtual　Reality　(VR)　technology　and　the　Unity　3D　Platform.　A　driving　simulator　experiment　was　conducted　with　34　licensed　drivers,　who　were　exposed　to　20　high-risk　urban　driving　scenarios.　Data　were　collected　over　three　test　sessions:　baseline,　immediately　post-training,　and　7　days　post-training.　The　study　focused　on　two　types　of　conflict　scenarios-horizontal　and　vertical.　Our　analysis　showed　that　drivers＇　HPTs　followed　a　Weibull　distribution,　which　allowed　us　to　develop　an　accelerated　failure　time　(AFT)　model.　The　results　indicated　that　scene　conflict　type　and　driver　age　positively　affected　HPT,　while　test　session　and　initial　driving　speed　showed　an　inverse　relationship.　Importantly,　the　training　significantly　improved　drivers＇　ability　to　identify　hazards,　with　notable　improvements　in　both　horizontal　and　vertical　conflict　scenarios　observed　immediately　after　training　and　7　days　later.　This　study　demonstrates　that　VR-based　hazard　perception　training　effectively　enhances　drivers＇　hazard　detection　skills.　These　findings　contribute　to　the　development　of　more　standardized　and　effective　models　for　hazard　perception　training,　offering　potential　for　wider　application　in　driver　education　and　road　safety　programs.