Pedestrian　behavior　is　a　complex　and　important　research　subject,　which　has　been　studied　extensively　by　simulation　and　experiment.　As　the　basis　or　premise　of　other　behaviors,　rotation　behavior　is　the　most　common　pedestrian　behavior　in　life.　However,　the　current　pedestrian　simulation　method　is　difficult　to　depict　the　rotation,　which　results　in　insufficient　authenticity　of　the　simulation　effect.　This　paper　proposes　a　systematic　work　on　the　modeling　and　simulation　problem　of　rotation　behaviors　under　multiple　scenarios.　Firstly,　we　improve　the　body　model　based　on　elliptical　structure　to　simulate　the　microscopic　behavior　of　pedestrians　in　the　most　realistic　way.　Then,　we　modeling　the　pedestrian　rotation　behavior　in　multiple　scenarios　by　proposing　two　indexes:　rotation　angle　and　rotation　timing,　which　include　the　Case　I　:　Traversing　behavior　in　narrow　areas,　Case　II　:　Avoidance　behavior　in　counter　flow　and　Case　III　:　Overtaking　behavior　in　medium　density　flow.　After　that,　we　propose　a　torsional　social　force　model　(T-SFM),　which　significantly　improves　original　model　from　two　aspects:　(a)　fusing　the　torsional　force;　(b)　adding　the　rotation　willingness.　More　than　500　times　real　experiments　are　conducted,　and　according　to　the　analysis　results　of　real　experiments,　this　paper　verifies　the　authenticity　of　rotation　model　from　both　qualitative　and　quantitative　perspectives.　Moreover,　we　calibrate　the　general　parameters　to　verify　the　generality　of　the　rotation　model.　The　simulation　results　show　that　the　T-SFM　can　not　only　simulate　the　rotation　behavior　with　high　authenticity,　but　also　has　good　generality.　Our　research　significantly　improves　the　authenticity　of　pedestrian　simulation　and　provides　support　for　heterogeneous　pedestrians　modeling　in　complex　environments.