Safe-D: Safety through Disruption

Final Reports

VTTI-00-022 Automated Truck Mounted Attenuator
SDSU-01-01 Prediction of Vehicle Trajectories at Intersections Using Inverse Reinforcement Learning
04-113 Use of Disruptive Technologies to Support Safety Analysis and Meet New Federal Requirements
04-103 Examining Seniors Adaptation to Mixed Function Automated Vehicles Analysis of Naturalistic Driving Data
04-098 Data Mining Twitter to Improve Automated Vehicle Safety
04-101 Safety Impact Evaluation of a Narrow Automated Vehicle-Exclusive Reversible Lane on an Existing Smart Freeway
TTI-01-01 Analysis of an Incentive-Based Smartphone App for Young Drivers
03-036 Modeling Driver Responses During Automated Vehicle Failures
03-072 Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles
03-073 Autonomous Emergency Navigation to a Safe Roadside Locations
VTTI-00-029 Real-world Use of Automated Driving Systems and their Safety Consequences
TTI-Student-02 Development of Analytic Method to Determine Weaving Patterns for Safety Analysis near Freeway Interchanges with Access Management Treatments
03-082 Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’
03-087 Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving
02-019 Identification of Railroad Requirements for the Future Automated and Connected Vehicle (AV/CV) Environment
03-051 Resomous ponse of AutonVehicles to Emergency hicles (RAVEV) Response Vehicles
02-014 Formalizing Human- Machine Communication in the Context of Autonomous Vehicles
VTTI-00-020 Standardized Performance Evaluation of Vehicles with Automated Capabilities
TTI-Student-05 Exploring Crowdsourced Monitoring Data for Safety Final Research Report
TTI-01-03 Comparison of SHRP2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps Final Research Report
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