The　reasonable　setting　of　guides　can　directly　improve　the　evacuation　capacity　in　the　subway　station.　The　important　role　of　guide　assignment　scheme　and　evacuation　path　planning　of　guided　passengers　is　particularly　prominent.　Considering　the　distribution　of　passengers　in　the　station,　one　contribution　is　that　an　assignment　scheme　of　the　initial　number　and　location　of　guides　is　firstly　established　based　on　Gaussian　mixture　model　and　cost　function　method,　so　as　to　increase　the　guidance　range　and　reduce　the　waste　of　human　resources.　Another　contribution　is　that　a　multi-objective　optimization　model　is　developed　for　guide　path　planning　and　NSGA-II　method　is　used　to　find　the　optimal　solution,　which　could　help　avoiding　the　evacuation　bottlenecks　in　advance.　Massmotion　embedded　with　social　force　model　and　minimum　cost　model　is　adopted　to　simulate　the　movement　of　people,　which　is　verified　by　the　independent　sample　t-test　in　this　paper.　Evacuation　experiments　under　the　random　distribution　of　passengers　are　carried　out　to　demonstrate　the　significance　of　the　proposed　guidance　method.　The　results　indicate　that　the　total　evacuation　efficiency　can　be　improved　by　about　13%　in　the　scenario　with　guides,　and　the　passengers＇　choice　of　stairs/escalators　is　more　balanced.　Moreover,　passengers　induced　by　different　guides　can　avoid　reaching　the　same　evacuation　node　at　the　same　time　window,　which　alleviates　the　pressure　of　nodes.　The　results　could　provide　theoretical　support　for　passenger　safety　management　and　even　improve　the　service　level　of　stations.