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04/06/2023
Connected and Automated Vehicles Investment and Smart Infrastructure in Tennessee Part 3: Infrastructure and Vehicular communications: From Dedicated Short-Range Communications
This report aims to support the Tennessee Department of Transportation's...
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07/21/2022
Heterogeneous Ensemble Learning for Enhanced Crash Forecasts – A Frequentest and Machine Learning based Stacking Framework
A variety of statistical and machine learning methods are used to model ...
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01/09/2021
Big Data Generated by Connected and Automated Vehicles for Safety Monitoring, Assessment and Improvement, Final Report (Year 3)
This report focuses on safety aspects of connected and automated vehicle...
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07/10/2018
Analyzing Highly Volatile Driving Trips Taken by Alternative Fuel Vehicles
Volatile driving, characterized by fluctuations in speed and acceleratio...
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03/13/2018
Development of Safety Performance Functions: Incorporating Unobserved Heterogeneity and Functional Form Analysis
To improve transportation safety, this study applies Highway Safety Manu...
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03/06/2018
Extracting useful information from connected vehicle data: An empirical study of driving volatility measures and crash frequency at intersections
With the emergence of high-frequency connected and automated vehicle dat...
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03/06/2018