In　this　paper,　we　use　the　evolution　dynamics　of　the　replicator-mutator　equation　to　understand　people＇s　travel　mode　choices　considering　the　traveler＇s　bounded　rationality.　We　define　the　notation　of　choice　utility　and　introduce　a　novel　choice　model　for　the　evolutionary　dynamics　of　travel　mode　choice　behavior.　The　choice　utility　can　be　calculated　from　the　generalized　travel　cost,　including　direct　and　indirect　economic　costs　(i.e.,　time　and　comfort　costs,　etc.).　Taking　Beijing　traffic　data　as　an　example,　this　paper　studies　the　evolution　process　of　travelers＇　behavior　and　analyzes　the　impact　of　mutation　parameters,　travel　distance,　direct　cost　and　comfort　cost　on　travel　mode　selection　behavior,　the　simulation　results　show　some　strategies　to　adjust　the　travel　mode　selection　probability.　This　study　can　provide　a　theoretical　reference　for　adjusting　the　urban　travel　distribution　structure　and　optimizing　the　travel　network.