This　paper　develops　a　new　approach　to　portray　the　equilibrium　and　analyze　the　appropriate　lane　policy　during　different　deployment　stages　of　autonomous　vehicles　(AVs)　by　innovatively　inte-grating　Vickrey＇s　bottleneck　model　into　the　day-to-day　dynamic　model.　The　travel　cost　function　in　the　classical　bottleneck　model　is　described　by　considering　the　impact　of　AVs＇　value　of　time　(VOT)　reduction　and　AV　gain.　The　evolution　of　lane　choice　behaviors　is　described　using　the　first　-order　and　second-order　day-to-day　dynamic　model.　Furthermore,　three　lane　policies　are　proposed　to　accommodate　AVs＇　development,　and　the　properties　for　the　endogenous　market　penetration　of　AVs　and　travel　cost　under　three　lane　policies　are　examined　to　recognize　which　policy　is　more　suitable　at　different　development　stages　of　AVs.　The　results　demonstrate　that　such　equilibrium　solutions　as　traffic　flow,　total　travel　cost,　the　convergence　time　are　all　analytically　solvable　and　thus　can　perfectly　answer　the　problem　of　stability　and　convergence　involved　in　the　day-to-day　dynamic　model.　Finally,　the　numerical　analysis　is　conducted　to　verify　the　previous　findings　and　get　some　intuitive　insights　on　system　performance.　This　work　not　only　provides　new　insights　on　the　evolutionary　process　of　AVs＇　and　regular　vehicles　(RVs)＇　lane　choice　behaviors,　but　also　recognizes　appropriate　lane　policy　to　accommodate　AVs　from　a　novel　perspective.