Traffic　congestion　and　collision　problems　had　been　focused　widely　by　transportation　researchers.　Various　traffic　management　strategies　such　as　Variable　Speed　Limit　(VSL),　ramp　metering　(RM),　etc.,　have　been　deployed　to　mitigate　traffic　congestion　and　collision.　However,　most　previous　studies　focused　on　the　impacts　of　VSL　or　RM　control　separately.　Therefore,　in　this　study,　a　model　predictive　integrated　VSL　and　RM　control　strategy　based　on　collision　probability　optimization　was　proposed.　The　proposed　control　strategy　predicts　future　traffic　states　and　collision　probability,　and　considers　the　optimum　VSL　and　RM　input　simultaneously　by　minimizing　collision　probability.　To　quantify　the　safety　and　mobility　impact,　the　proposed　integrated　control　was　implemented　in　microscopic　simulation　and　compared　with　VSL　control,　RM　control　and　without　any　control　scenario　respectively.　The　results　indicate　that　the　integrated　VSL　and　RM　control　strategy　can　improve　safety　by　approximately　41%　and　mobility　by　approximately　13%.　In　conclusion,　the　proposed　integrated　VSL　and　RM　control　strategy　was　better　than　VSL　control　strategy　and　RM　control　strategy　independently.　©　2018　IEEE.