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Safety Through Disruption (Safe-D) University Transportation Center (UTC)
  • Investigation of Design Speed Characteristics on Freeway Ramps using SHRP2 Naturalistic Driving Data
    Investigation of Design Speed Characteristics on Freeway Ramps using SHRP2 Naturalistic Driving Data
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  • Characteristics Based Heuristics to Select a Logical Distribution between the PoissonGamma and the PoissonLognormal for Crash Data Modelling
    Characteristics Based Heuristics to Select a Logical Distribution between the Poisson-Gamma and the Poisson-Lognormal for Crash Data Modelling
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  • Estimating Bicycle Demand in the Austin Texas Area Role of a Bikeability Index
    Estimating Bicycle Demand in the Austin, Texas Area: Role of a Bikeability Index
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  • OnRoad Evaluation of Invehicle Interface Characteristics and Their Effects on Performance of Visual Detection on the Road and Manual Entry
    On-Road Evaluation of In-vehicle Interface Characteristics and Their Effects on Performance of Visual Detection on the Road and Manual Entry
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  • A Geographically Weighted Regression Model to Examine the Spatial Variation of the Socioeconomic and LandUse Factors Associated with Strava Bike Activity in Austin Texas
    A Geographically Weighted Regression Model to Examine the Spatial Variation of the Socioeconomic and Land-Use Factors Associated with Strava Bike Activity in Austin, Texas
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  • Identifying HighRisk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego
    Identifying High-Risk Intersections for Walking and Bicycling Using Multiple Data Sources in the City of San Diego
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  • The Relationship between the Driver Behavior Questionnaire Sensation Seeking Scale and Recorded Crashes A Brief Comment on Martinussen et al 2017 and New Data from SHRP2
    The Relationship between the Driver Behavior Questionnaire, Sensation Seeking Scale, and Recorded Crashes: A Brief Comment on Martinussen et al. (2017) and New Data from SHRP2
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  • Derivation of the Empirical Bayesian Method for the Negative BinomialLindley Generalized Linear Model With Application in Traffic Safety
    Derivation of the Empirical Bayesian Method for the Negative Binomial-Lindley Generalized Linear Model With Application in Traffic Safety
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  • A Methodology to Design Heuristics for Model Selection Based on the Characteristics of Data Application to Investigate When the Negative Binomial Lindley NBL is Preferred Over the Negative Binomial NB
    A Methodology to Design Heuristics for Model Selection Based on the Characteristics of Data: Application to Investigate When the Negative Binomial Lindley (NB-L) is Preferred Over the Negative Binomial (NB)
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  • Reference Test System for Machine Vision Used for ADAS Functions
    Reference Test System for Machine Vision Used for ADAS Functions
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  • Evaluation of the Injury Risks of Truck Occupants Involved in a Crash as a Result of Errant Truck Platoons
    Evaluation of the Injury Risks of Truck Occupants Involved in a Crash as a Result of Errant Truck Platoons
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  • Data Fusion for Nonmotorized Safety Analysis
    Data Fusion for Nonmotorized Safety Analysis
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  • Data Fusion for Nonmotorized Safety Analysis supporting datasets
    Data Fusion for Nonmotorized Safety Analysis [supporting datasets]
    Dataset Icon
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  • Exploring the Influence of Carbon Footprint and Health Benefits in Parking Location Decisions
    Exploring the Influence of Carbon Footprint and Health Benefits in Parking Location Decisions
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  • Investigation on the DriverVictim Pairs in Pedestrian and Bicyclist Crashes by Latent Class 1 Clustering and Random Forest Algorithm
    Investigation on the Driver-Victim Pairs in Pedestrian and Bicyclist Crashes by Latent Class 1 Clustering and Random Forest Algorithm
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  • Toward Computational Simulations of Behavior During Automated Driving Takeovers A Review of the Empirical and Modeling Literatures
    Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures
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  • State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving A Survey
    State Estimation and Motion Prediction of Vehicles and Vulnerable Road Users for Cooperative Autonomous Driving: A Survey
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  • Implications of a Narrow Automated VehicleExclusive Lane on Interstate 15 Express Lanes
    Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes
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