Mobility Safety and Reliability
There are more than 4 million miles of road, 600,000 bridges and 3,000 transit providers in the U.S. Ensuring the safety and reliability of the transportation network is a multi-disciplinary challenge affecting thousands of communities, multiple industries and job sectors.
Our research focuses on traffic safety and emergency response.
Traffic Safety in Adverse Driving Conditions
At the Federal, State and community levels, achieving a significant reduction in traffic fatalities and serious injuries on all public roads is an urgent and ongoing imperative. CSU, through past and ongoing research, is utilizing digital technology to collect and analyze traffic safety data and develop new predictive models for mitigating crash incidents. Research projects include:
Urban Transportation Emergency Response
Transportation systems experience various disruptions due to natural hazards, inclement weather and other serious incidents and accidents of varying forms. Existing data or traffic planning tools cannot currently support disrupted or emergency response scenarios effectively. CSU is developing a multi-scale response and resiliency model which incorporates first responder planning during the different phases of anticipated threats and hazards from disruptive events. This model will be used for proper performance analysis to determine optimal traffic routing, traffic restrictions and resource allocation; prioritization of repair efforts of other interdependent infrastructure (e.g., power and communication); bridge repair prioritization; and debris removal planning.
There are more than 4 million miles of road, 600,000 bridges and 3,000 transit providers in the U.S. Ensuring the safety and reliability of the transportation network is a multi-disciplinary challenge affecting thousands of communities, multiple industries and job sectors.
Our research focuses on traffic safety and emergency response.
Traffic Safety in Adverse Driving Conditions
At the Federal, State and community levels, achieving a significant reduction in traffic fatalities and serious injuries on all public roads is an urgent and ongoing imperative. CSU, through past and ongoing research, is utilizing digital technology to collect and analyze traffic safety data and develop new predictive models for mitigating crash incidents. Research projects include:
- Investigation of interactions between traffic law enforcement, crash and driving behavior on rural highways in Colorado: Mountain-Plains Consortium, U.S. Department of Transportation Regional Transportation Center
- Investigation of traffic crash, injury and law enforcement on Colorado highways: Colorado State Patrol
- GIS-based rollover crash risk map of large trucks on I-70 mountain corridor: Mountain and Plains Education and Research Center, Centers for Disease Control and Prevention/National Institute for Occupational Safety and Health
- Investigation of speed limits on the I-70 mountain corridor in Colorado: Colorado Department of Transportation
- Reliability-based safety risk and cost prediction of large trucks on rural highways: Mountain-Plains Consortium, U.S. Department of Transportation Regional Transportation Center
- Risk-based advisory prevention system for commercial trucks and hazardous conditions: Mountain-Plains Consortium, U.S. Department of Transportation Regional Transportation Center
- Traffic safety vulnerability information platform (TS-VIP) for highways in mountainous areas using geospatial multimedia technology: Mountain-Plains Consortium, U.S. Department of Transportation Regional Transportation Center
Urban Transportation Emergency Response
Transportation systems experience various disruptions due to natural hazards, inclement weather and other serious incidents and accidents of varying forms. Existing data or traffic planning tools cannot currently support disrupted or emergency response scenarios effectively. CSU is developing a multi-scale response and resiliency model which incorporates first responder planning during the different phases of anticipated threats and hazards from disruptive events. This model will be used for proper performance analysis to determine optimal traffic routing, traffic restrictions and resource allocation; prioritization of repair efforts of other interdependent infrastructure (e.g., power and communication); bridge repair prioritization; and debris removal planning.