To　address　the　congestion　and　secondary　accidents　on　highways　involving　both　Connected　and　Automated　Vehicles　and　Human-driven　Vehicles　after　abnormal　incidents　occur,　this　paper　focuses　on　a　single　lane　and　proposes　a　lane-based　speed　regulation　method.　This　study　utilizes　the　controllability　of　Connected　and　Automated　Vehicles　by　controlling　the　passing　speed　to　indirectly　guide　the　driving　behavior　of　Human-driven　Vehicles.　The　area　near　the　bottleneck　is　divided　into　a　speed　limit　area　and　a　coordination　area.　In　the　speed　limit　area,　the　Connected　and　Automated　Vehicles　speed　limit　values　for　different　lanes　are　determined　based　on　real-time　traffic　flow　at　the　bottleneck,　and　the　number　of　vehicles　flowing　into　the　coordination　area　is　controlled　to　alleviate　the　formation　and　propagation　of　congestion　waves.　In　the　coordination　area,　the　Connected　and　Automated　Vehicles　movement　on　the　incident　lane　is　controlled　to　ensure　that　vehicles　could　pass　through　the　bottleneck　area　safely　and　efficiently.　A　set　of　simulation　experiments　are　conducted,　and　the　effectiveness　of　the　proposed　method　is　verified　from　two　aspects:　efficiency　and　safety.　The　simulation　results　show　that　compared　to　an　uncontrolled　baseline　scenario,　the　average　traveling　time　of　vehicles　can　be　increased　by　2.4%　and　the　improvement　rate　of　TET　(Time　Exposed　time-to-collision)　can　reach　14%　in　a　50%　Connected　and　Automated　Vehicles　market　penetration　rates　environment.　And　in　a　90%　market　penetration　rates　environment,　the　average　travel　time　can　be　increased　by　18.5%,　and　the　TET　improvement　rate　rises　to　51%.　This　paper　could　provide　strategic　recommendations　and　methods　to　control　the　traffic　flow　when　an　incident　happens　under　the　mixed　flow　environment.　©　2025　Science　Press.　All　rights　reserved.