To　further　improve　the　operation　efficiency　of　metro　trains,　a　multi-mode　and　distributed　model　predictive　control　(DMPC)　algorithm　is　proposed　for　whole　day　train　regulation　of　metro　transportation　in　presence　of　time-varying　passenger　arrival　rate　and　disturbances.　Firstly,　a　multi-mode　switching　train　operation　model　in　a　metro　line　is　built　with　a　switched　linear　function　describing　dynamic　passenger　demand.　Secondly,　a　DMPC-based　strategy　for　train　regulation　is　proposed　to　ensure　the　punctuality　and　security　of　whole　day　train　operation.　Furthermore,　numerical　examples　are　present　and　the　progress　and　practicability　of　the　proposed　train　regulation　strategy　are　illustrated,　revealing　that　the　proposed　algorithm　can　significantly　reduce　the　computation　time　so　as　to　improve　the　real-time　regulation　performance.