Mobile　laser　scanning　(MLS)　technology　directly　collects　dense　3D　coordinate　information　at　expressway　and　satisfied　with　the　demands　of　transportation-related　road　surveying.　This　paper　aims　to　extract　road　curbs　and　road　markings　from　MLS　point　clouds.　The　proposed　method　is　based　on　the　following　approaches:　1)　extracting　and　segmenting　road　surfaces　and　subsidiary　facility　point　clouds　from　raw　point　clouds　based　on　the　GPS　trajectory;　2)　dynamically　shifting　the　point　clouds　from　the　global　coordinate　system　to　block-based　local　coordinate　systems;　3)　estimating　the　curbs　and　centre　points　based　on　the　block　profiles　and　re-sampled　point　clouds;　and　4)　extracting　road　markings　based　on　the　passthrough-statistical-radius-filter.　An　application　for　an　expressway　and　its　interchange　road　is　performed　to　test　the　proposed　method.　The　mean　deviation　in　the　estimated　road　centres　was　5.30　cm,　which　satisfies　the　demand　for　centimetre-scale　road　precision　in　expressway　applications.　The　results　illustrate　that　the　proposed　method　is　a　precise　alternative　for　expressway　curb　and　marking　extraction,　and　can　be　performed　for　horizontal　analysis　and　lane　navigation　in　intelligent　transportation　systems.