With　the　increasing　popularity　of　mobile　phones,　large　amounts　of　real　and　reliable　mobile　phone　data　are　being　generated　every　day.　These　mobile　phone　data　represent　the　practical　travel　routes　of　users　and　imply　the　intelligence　of　them　in　selecting　a　suitable　route.　Usually,　an　experienced　user　knows　which　route　is　congested　in　a　specified　period　of　time　but　unblocked　in　another　period　of　time.　Moreover,　a　route　used　frequently　and　recently　by　a　user　is　usually　the　suitable　one　to　satisfy　the　user＇s　needs.　Adaptive　control　of　thought-rational　(ACT-R)　is　a　computational　cognitive　architecture,　which　provides　a　good　framework　to　understand　the　principles　and　mechanisms　of　information　organization,　retrieval　and　selection　in　human　memory.　In　this　paper,　we　employ　ACT-R　to　model　the　process　of　selecting　a　suitable　route　of　users.　We　propose　a　cognition-inspired　route　evaluation　method　to　mine　the　intelligence　of　users　in　selecting　a　suitable　route,　evaluate　the　suitability　of　the　routes,　and　then　recommend　an　ordered　list　of　routes　for　subscribers.　Experiments　show　that　it　is　effective　and　feasible　to　evaluate　the　suitability　of　the　routes　inspired　by　cognition.