The　vehicle　scheduling　in　the　logistics　system　of　the　steel　park　is　a　critical　factor　determining　the　scheduling　efficiency　and　logistics　throughput.　The　limited　space　resources　at　the　entrance　of　the　steel　park　make　vehicles　shall　be　arranged　in　reasonable　batches　to　guarantee　the　scheduling　consistency.　To　achieve　the　purpose,　the　paper　first　formulates　the　model　of　vehicle　batching.　Then,　the　algorithm　CCVB　(constrained　clustering　of　vehicle　batching)　is　proposed　to　solve　the　problem　from　a　clustering　perspective.　Comparative　experiments　are　carried　out　to　verify　the　effectiveness　of　the　proposed　algorithm.　The　experimental　results　show　that　the　proposed　mechanism　can　sufficiently　improve　the　scheduling　efficiency　of　steel　logistics　under　limited　time　and　space　resources.　©　2022　IEEE.