Di Yang

Assistant Professor

Morgan State University

United States

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Dr. Di Yang is an Assistant Professor at Morgan State University, specializing in transportation safety and risk analysis. His recent research includes evaluating ride-hailing services, examining truck traffic impact on road safety, and analyzing driver response behavior in connected vehicle environments. Dr. Yang employs advanced statistical methods and innovative data sources to enhance transportation safety measures and assess the effectiveness of traffic regulations.

Articles (13)

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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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2021

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2021

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2021

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2021

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2021

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2021

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2021

Collaborators (3)

Hong Yang

Associate Professor

Old Dominion University

UNITED STATES

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Kun Xie

Assistant Professor

Old Dominion University

UNITED STATES

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kaan ozbay

Professor

New York University

UNITED STATES

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Di Yang

Research Interests

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About

Articles (13)

Exploring the impact of truck traffic on road segment-based severe crash proportion using extensive weigh-in-motion data

A survival analysis with random parameter approach for assessing temporal instability in treatment effect

A Functional Approach for Analyzing Time-Dependent Driver Response Behavior to Real-World Connected Vehicle Warnings

Calibrating stochastic traffic simulation models for safety and operational measures based on vehicle conflict distributions obtained from aerial and traffic camera videos

Are ride-hailing services safer than taxis? A multivariate spatial approach with accommodation of exposure uncertainty

Assessing the safety effectiveness of citywide speed limit reduction: A causal inference approach integrating propensity score matching and spatial difference-in-differences

Copula-based joint modeling of crash count and conflict risk measures with accommodation of mixed count-continuous margins

Examining municipal guidelines for users of shared E-Scooters in the United States

Fusing crash data and surrogate safety measures for safety assessment: Development of a structural equation model with conditional autoregressive spatial effect and random parameters

A functional approach for characterizing safety risk of signalized intersections at the movement level: An exploratory analysis

Proactive safety monitoring: A functional approach to detect safety-related anomalies using unmanned aerial vehicle video data

Modeling bicycle crash costs using big data: A grid-cell-based Tobit model with random parameters

Modeling lane-specific breakdown probabilities at freeway diverge sections

Collaborators (3)

Hong Yang

Kun Xie

kaan ozbay

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