Day-to-day　traffic　dynamics　is　to　model　the　day-to-day　evolution　of　travelers＇　travel　choices,　which　helps　to　understand　the　aggregate　traffic　evolution　of　a　non-equilibrium　network　and　then　develop　scientific　managements.　This　topic　is　attracting　increasing　interests.　In　the　literature,　day-to-day　route　and　departure　time　choices　are　usually　addressed　separately;　and　the　existing　models　commonly　adhere　to　the　rational　behavior　adjustment　criterion　(RBAC),　but　pay　little　attention　to　extra　behavior　preferences.　In　this　article,　we　formulate　the　day-to-day　departure　time　and　route　choices　in　a　united　model.　Moreover,　besides　the　RBAC,　three　microscopic　behavior　preferences　(i.e.,　simplicity-seeking,　proximity-prone　and　marginal　cost　preference)　are　suggested　for　modeling.　The　problem　is　formulated　as　a　discrete-time　dynamics　named　by　the　day-to-day　departure　time　and　route　adjustment　process　(DTRAP).　Basic　properties　of　the　model　are　verified　theoretically;　and　numerical　results　indicate　that　the　suggested　micro-preferences　have　significant　impact　on　traffic　evolution.　Thus,　serious　treatment　and　more　in-depth　research　attention　need　to　be　laid　on　these　micro-preferences　for　obtaining　scientific　understanding　on　the　day-to-day　network　traffic　evolution　or　for　avoiding　ineffective　(or　even　wrong)　traffic　managements.