With　the　rapid　advancement　of　urban　modernization　and　the　sustainable　development　of　economy,　the　problems　of　driving　difficulty　and　parking　difficulty　are　increasingly　prominent　in　large,　medium　and　small　cities.　In　order　to　alleviate　the　contradiction　between　urban　space　and　vehicle　growth　rate　and　improve　the　utilization　efficiency　of　parking　resources,　based　on　the　roadside　parking　data　of　Nanshan　District　in　Shenzhen　City,　this　paper　combines　the　time　series　data　visualization　method　and　geospatial　data　visualization　method　in　multi-dimensional　data　visualization,　and　adopts　the　mode　of　view　collaborative　interaction　to　design　the　intelligent　roadside　parking　collaborative　interactive　visualization　system.　The　system　integrates　multisource　data,　displays　roadside　parking　data　information　in　an　all-round　way,　supports　exploratory　analysis　of　roadside　parking　data　characteristics　and　laws,　and　helps　to　understand　parking　demand　and　parking　distribution　at　different　times　and　regions.　It　provides　decision　support　for　optimizing　parking　resource　allocation　and　roadside　parking　management.　©　2024　IEEE.