Macroscopic　traffic　flow　models　play　a　significant　role　in　the　Intelligent　Transportation　Systems　(ITS),　especially　for　the　urban　traffic　control　and　the　dynamic　traffic　assignment,　in　which　the　traffic　dynamics　usually　described　by　the　nonlinear　equations　are　difficult　to　be　solved　and　limit　the　practice　application.　This　paper　presents　a　hybrid　macroscopic　and　microscopic　(macromicroscopic)　traffic　model　by　extending　Daganzo＇s　Cell　Transmission　Model　(CTM)　with　the　real　time　speed　dynamic.　A　simple　supplying　and　demanding　function　is　defined　to　represent　the　traffic　propagation　between　the　adjacent　cell　boundaries,　and　the　car-following　model　is　integrated　to　specify　the　dynamics　of　average　speed　in　each　cell.　Simulation　results　with　data　set　collected　from　a　4-kilometre　long　urban　freeway　show　the　performance　of　the　model　compared　to　the　METANET　model.