Park, Peter Y.Wang, Mingyue2020-05-112020-05-112019-102020-05-11https://hdl.handle.net/10315/37415This thesis explores the safety impact of differential speed limit (DSL) strategy by considering gross vehicle weight (GVW) combined with average speed enforcement (ASE) for heavy vehicles. The study used one-year of Weigh-in-Motion (WIM) data (2014) and one-month of Global Positioning System (GPS) data (Mar 2016) collected from along the Trans-Canada Highway 1 in British Columbia. The research consisted of a data-driven analysis and a two-part simulation analysis. As the DSL investigated was based on GVW, a Modified-Federal Highway Administration (M-FHWA) classification that explicitly considered GVW was tested alongside the FHWA classification regarding average speed and GVW. The simulation analysis assessed the DSL strategy associated with M-FHWA classification and ASE strategys impact on the safety of heavy vehicles. In general, the analyses showed that DSL adopted with M-FHWA classes combined with ASE would be effective in reducing heavy vehicle speed and improving highway safety.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.Civil engineeringElectronic Thesis or Dissertation2020-05-11Highway safetyTransportation engineeringFreight transportationHeavy vehicle safetySpeed limitDifferential speed limitUniform speed limitSpeed enforcementSpot speed enforcementAverage speed enforcementGross Vehicle WeightWeigh-in-MotionGPSFHWA classificationVISSIMMicrosimulationSpeed characteristics85th percentile speedSpeed varianceSpeeding rateTraffic performance