Using　the　findings　from　visual　cognitive　psychology　and　computer　vision,　this　study　proposes　a　method　that　can　predict　how　passenger　visual　attention　to　indoor　visual　guidance　elements　will　affect　the　visual　guidance　quality　inside　passenger　terminals.　A　saliency　model　is　used　to　simulate　the　human　visual　attention,　so　as　to　understand　how　the　visual　guidance　elements　and　visual　noise　are　cognitively　perceived　by　passengers.　For　every　possible　origin　and　destination　node　combination,　the　length　and　probability　of　the　path　that　passengers　are　most　likely　to　take　(LP)　are　compared　with　the　respective　shortest　path　(SP).　The　overall　evaluation　of　the　terminal＇s　visual　guidance　quality　can　be　expressed　by　the　Extra　Walking　Index.　The　validity　of　the　developed　evaluation　method　is　verified　and　it　is　then　applied　in　a　case　study.　The　method　can　be　used　as　a　supporting　tool　for　architects　to　identify　relevant　architectural　features　in　the　design　phase　and　optimize　them　accordingly;　in　addition,　it　can　also　provide　existing　passenger　terminals　with　specific　improvement　suggestions.