Henrick Haule

Research Assistant Professor

University of Arizona

United States

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Henrick Haule is a Research Assistant Professor at the University of Arizona, USA. His research focuses on intersection signal timing design, the effectiveness of red-light running cameras, and factors influencing traffic safety, particularly concerning motorcycle collisions with left-turning vehicles. Additionally, he employs machine learning techniques to enhance vehicle reidentification and optimizes ramp metering operations to improve freeway mobility.

Articles (16)

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2025

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2021

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2020

Collaborators (4)

Alyssa Ryan

Assistant Professor

University of Arizona

UNITED STATES

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Angela Edes Kitali

Assistant Professor

University of Washington Tacoma

UNITED STATES

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Adrian Cottam

Assistant Research Professor

Auburn University

UNITED STATES

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Yao-Jan Wu

Associate Professor

University of Arizona

UNITED STATES

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Henrick Haule

Research Interests

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Articles (16)

Evaluating the Effectiveness of Red-Light Running Cameras on Intersection Crash Outcomes and Professional Perspectives

Examining Left-Turn Speeds for Intersection Signal Timing Design Using Crowdsourced Trajectory Data

Modeling dilemma zone at urban signalized intersections using crowdsourced trajectory data

Evaluation of Factors Influencing Ramp Metering Compliance Using Controller Event–Based Data

Machine learning-based optimization framework for vehicle reidentification between detectors at signalized intersections

Examining Factors Contributing to Motorcycle Collisions with Left-Turning Vehicles at Urban Intersection Locations

Empirical analysis of dilemma zone using high-resolution event data

Leveraging autonomous vehicles crash narratives to understand the patterns of parking-related crashes

Mobility Impacts of Ramp Metering Operations on Freeways

Mobility Impacts of Ramp Metering Operations on Freeways

Examining the Influence of Work Zones on the Propensity of Secondary Crashes

Are Older Drivers Safe on Interchanges? Analyzing Driving Errors Causing Crashes

What are the leading causes of fatal and severe injury crashes involving older pedestrian? Evidence from Bayesian network model

Evaluating the effect of ramp metering on freeway safety using real-time traffic data

Modeling Wrong-way Driving (WWD) crash severity on arterials in Florida

Investigating the Impact of Rain on Crash-Clearance Duration

Collaborators (4)

Alyssa Ryan

Angela Edes Kitali

Adrian Cottam

Yao-Jan Wu

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