Autonomous　vehicles　are　expected　to　generate　significant　impact　on　travel　behavior　and　modal　split　in　transportation　system.　This　study　investigates　the　influence　of　combined　strategy　of　tradable　credit　scheme　(TCS)　and　public　transit　fare　on　commuters’　travel　mode　choice　(such　as　the　conditions　for　various　portfolios　of　travel　modes,　the　penetration　rate　for　shared　autonomous　vehicles　(SAVs),　and　the　credit　price),　and　the　number　of　commuters　transferring　among　different　travel　modes　and　the　total　travel　cost.　The　results　show　that　the　equilibrium　credit　price　can　be　uniquely　determined　after　the　combination　strategy　is　introduced.　When　a　certain　condition　is　met,　the　number　of　commuters　for　regular　vehicles　and　the　total　number　of　vehicles　on　highway　decrease　significantly　by　switching　to　the　modes　of　SAV　or　public　transit,　and　the　effect　increases　with　the　public　transit　fare　and　the　amount　of　charged　credit.　Finally,　the　optimal　solution　of　the　total　travel　cost　appears　in　the　region　including　all　three　travel　modes,　where　the　amount　of　charged　credit　equals　a　certain　value　and　the　public　transit　fare　achieves　its　maximal　value　in　the　feasible　region.　This　paper　is　helpful　in　quantifying　the　impact　of　the　new　technology　and　providing　the　theoretical　reference　for　traffic　management　departments　to　develop　effective　management　strategies.　©　2023　Systems　Engineering　Society　of　China.　All　rights　reserved.