Papers in Review


TRB 2022 presentations and papers

  1. Exploring Visibility Factors Effect on Vehicle-Pedestrian Crash Injury Severity

  2. A Study of Truck-involved Crashes and Fatalities Before and During the COVID-19 Pandemic: Evidence of Traffic Safety from Tennessee

  3. Injury Severity Analysis of Pedestrian and Bicyclist Trespassing Crashes at Non-Crossings: A Hybrid Predictive Text Analytics and Heterogeneity-Based Statistical Modeling Approach

  4. How did Transportation Fatalities, Total Crashes, and Crash Harm change during the COVID-19 pandemic? Evidence of Traffic Safety from Tennessee

  5. Evaluating Pedestrian Safety in Bus-Pedestrian Interactions with the Application of Enhanced Pedestrian Collision Warning Systems: Analysis of Large-Scale Basic Safety Message Data

  6. From the Past to the Future: Modeling the Temporal Instability of Safety Performance Functions

  7. Automated Vehicle Data Pipeline for Accident Reconstruction: New Insights from LiDAR, Camera, and Radar Data

  8. Incorporating Driving Volatility Measures in Safety Performance Functions Improving Safety at Signalized Intersections

  9. Predicting Intersection Crash Frequency Using Connected Vehicle Data: Application of Geographical Random Forest

  10. A Joint Behavioral Choice Model for Adoption of Automated Vehicle Ride Sourcing and Carsharing Technologies

  11. The Interaction Between Information and Communication Technology and Travel Behavior: Using Behavioral Data to Explore Pre- and During COVID-19 Impacts

  12. How Effective are Pedestrian Crash Prevention Systems Utilized in On-Road Vehicles?

  13. A Deep Clustering Framework to Characterize Road Environments based on Street View Imagery

  14. Heterogeneous Ensemble Learning for Enhanced Crash Forecasts – A Frequentist and Machine Learning based Stacking Framework

  15. Are Damages to Remainder Parcels in Right-of-Way Acquisitions Stationary? Spatial Analysis of Appraisal Report Data

  16. Adoption of Electric Vehicles: Is the Commercial Transportation Sector Interested?

  17. How Many Electric Vehicle Owners Will Repurchase a Similar Vehicle?