Ramp　merging　represents　a　bottleneck　scenario　that　causes　traffic　congestion,　accidents,　and　increases　emissions.　Connected　and　Automated　Vehicles　(CAVs)　can　realize　the　coordinated　control　of　ramp　merging　through　vehicle-to-infrastructure　(V2I)　for　relieving　above　problems.　Considering　the　previous　studies　on　centralized　ramp　merging　only　involved　single　mainline,　this　paper　proposes　a　multi-lane　centralized　collaborative　control　strategy　using　cooperative　game.　First,　the　merging　rules　of　different　lanes　of　vehicles　in　the　merging　area　are　defined,　so　that　the　vehicles　can　achieve　the　cooperative　merging　safely.　Second,　driving　efficiency,　comfort,　and　fuel　consumption　in　the　merging　control　zone　are　used　as　the　cost　function.　The　best　merging　sequences　of　vehicles　in　different　lanes　are　solved　by　cooperative　game.　Finally,　analytical　solution　of　longitudinal　optimal　control　for　all　vehicles　is　obtained　by　applying　the　Pontryagin　principle.　The　effectiveness　of　the　proposed　method　is　verified　through　simulation　under　random　traffic　conditions.　Compared　to　other　centralized　control　algorithms,　it　can　significantly　improve　driving　efficiency　and　reduce　fuel　consumption.　At　the　same　time,　the　applicability　of　the　method　is　verified　by　comparing　with　ExiD　datasets,　and　some　advantages　are　obtained　in　terms　of　fuel　consumption.