Autonomous　intersection　management　(AIM)　guides　vehicles　to　pass　through　signal-free　intersections　individually.　Since　vehicles　are　permitted　to　turn　in　any　direction　from　any　lane　in　AIM,　it　is　desired　to　erase　lane　changes　on　the　entry　lane　to　achieve　high　traffic　efficiency.　However,　erasing　lane　changes　exposes　intersections　to　complex　conflicts.　To　study　the　trade-off　between　lane　changes　on　the　entry　lanes　and　conflicts　inside　the　intersection,　this　paper　makes　a　comprehensive　comparison　of　two　kinds　of　intersection　systems.　First,　all-direction　turn　lanes　(ADTL)　and　specific-direction　turn　lanes　(SDTL)　are　designed　to　distinguish　lane　change　behaviors.　Second,　a　two-stage　method　is　proposed　to　manage　the　oncoming　vehicles　at　the　intersection.　The　first　stage　is　timing　schedule　optimization　and　the　second　stage　is　trajectory　optimization.　Then,　a　method　based　on　Monte　Carlo　Tree　Search　(MCTS)　is　designed　to　solve　the　timing　schedule　optimization　model　at　high　traffic　demands.　Finally,　two　parts　of　simulation　experiments　are　conducted　in　this　paper.　The　first　part　verifies　the　performance　of　the　MCTS-based　method.　The　second　part　compares　ADTL　and　SDTL　in　multiple　scenarios.　The　results　show　that　ADTL　outperforms　SDTL　in　the　efficient　system,　but　the　opposite　conclusion　appears　in　the　fault-tolerant　system.　Besides,　combining　ADTL　with　lane　changes　may　bring　out　the　full　value　of　ADTL.　IEEE