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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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10/09/2020
The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment
As a key indicator of unsafe driving, driving volatility characterizes t...
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10/09/2020
Harnessing Ambient Sensing Naturalistic Driving Systems to Understand Links Between Driving Volatility and Crash Propensity in School Zones: A generalized hierarchical mixe
With the advent of seemingly unstructured big data, and through seamless...
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04/15/2019
Fuel Economy Gaps Within & Across Garages: A Bivariate Random Parameters Seemingly Unrelated Regression Approach
The key objective of this study is to investigate the interrelationship ...
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08/17/2018
A Heterogeneity Based Case-Control Analysis of Motorcyclist Injury Crashes: Evidence from Motorcycle Crash Causation Study
The main objective of this study is to quantify how different policy-sen...
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08/16/2018
Analyzing within Garage Fuel Economy Gaps to Support Vehicle Purchasing Decisions - A Copula-Based Modeling & Forecasting Approach
A key purpose of the U.S. government fuel economy ratings is to provide ...
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03/13/2018