Kakan Dey

Assistant Professor

West Virginia University

United States

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Dr. Kakan Dey is an Assistant Professor at West Virginia University, United States. His research areas include machine learning applications in traffic safety, autonomous vehicle interactions, and the perceptions of various roadway users towards emerging transportation technologies. He has recently published articles examining topics such as crash risk estimation, conflict resolution behavior of autonomous vehicles, and the impacts of transit information on accessibility.

Articles (14)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (7)

Karen Rambo-Hernandez

Texas A&M University

UNITED STATES

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Diwas Thapa

UNITED STATES

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Mizanur Rahman

The University of Alabama

UNITED STATES

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Md Rafiul Islam

Assistant Professor of Data Science

University of the Incarnate Word

UNITED STATES

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Sabyasachee Mishra

Professor and Director of C-TIER

University of Memphis

UNITED STATES

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V. Dimitra Pyrialakou

Assistant Professor

West Virginia University

UNITED STATES

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Mihalis Golias

Professor

University of Memphis

UNITED STATES

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Kakan Dey

Research Interests

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About

Articles (14)

Application of a Machine Learning–Based Sampling Method in Extreme Value Theory for Crash Risk Estimation of a Freeway Segment

Conflict resolution behavior of autonomous vehicles at intersections under mixed traffic environment

Experiences and Perceptions of Engineering Students towards a Cross-Disciplinary Course Using Sentiment Analysis

Perceptions of vulnerable roadway users on autonomous vehicle regulations

Factors influencing safety perceptions of sharing roadways with autonomous vehicles among vulnerable roadway users

Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon

Identifying Factors Influencing Recreational Travel during the COVID-19 Pandemic

Left-turn phasing selection considering vehicle to vehicle and vehicle to pedestrian conflicts

Impacts of real-time transit information on transit accessibility – A case study

Investigation of pedestrian and bicyclist safety in public transportation systems

Pattern recognition from cyclist under influence (CUI) crash events: application of block cluster analysis

Analysis of Roadway Segment Vulnerability and Risk Factors for Crashes While Driving in the Wrong Direction

Extracting Rules from Autonomous-Vehicle-Involved Crashes by Applying Decision Tree and Association Rule Methods

Modeling and evaluation of a ridesharing matching system from multi‐stakeholders’ perspective

Collaborators (7)

Karen Rambo-Hernandez

Diwas Thapa

Mizanur Rahman

Md Rafiul Islam

Sabyasachee Mishra

V. Dimitra Pyrialakou

Mihalis Golias

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