Transportation Engineering
Doctor of Philosophy (Ph.D.)
The University of Texas at El Paso
2025
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Staff
Staff
Ehsan Yahyazadeh Rineh
Postdoctoral Researcher
Department/Office
- Research and Education for Promoting Safety
School/College
- College of Engineering and Architecture (CEA)
Biography
Ehsan Yahyazadeh Rineh, Ph.D., EIT, is a Postdoctoral Researcher at Howard University’s REPS Tier 1 University Transportation Center. His research focuses on transportation modeling and simulation, traffic operations, Intelligent Transportation Systems (ITS), transportation safety, connected and automated transportation, and transportation electrification. At Howard, he is currently contributing to transportation safety and operations research through REPS in collaboration with the District Department of Transportation (DDOT).
Before joining Howard University, he worked as a Postdoctoral Researcher at The University of Texas at El Paso (UTEP) through the National Science Foundation (NSF) Engineering Research Center for Advancing Sustainability through Powered Infrastructure for Roadway Electrification (ASPIRE), where his research focused on Dynamic Wireless Power Transfer (DWPT) systems, including transportation modeling, traffic simulation, infrastructure planning, and optimization.
During his Ph.D. studies at UTEP, he conducted transportation electrification research through the ASPIRE. His work included statewide electric vehicle charging demand analysis along intercity corridors and citywide agent-based modeling of Electric Vehicle (EV) charging demand. His doctoral dissertation focused on discretionary lane-changing behavior and the development of Fuzzy Inference System (FIS)-based lane-changing decision models using vehicle trajectory data.
He has also contributed to research on Emergency Medical Services (EMS) and Connected and Automated Vehicle (CAV) preemption through the U.S. Department of Transportation Center for Efficient Mobility. His broader research experience includes driving simulator applications related to driver behavior, training, and transportation safety.
Before beginning his doctoral studies in the United States, he gained approximately seven years of professional experience in transportation engineering and planning consulting, contributing to roadway and transportation infrastructure projects.
Education & Expertise
Education
Civil Engineering (Road & Pavement)
Master of Science (M.Sc.)
Sharif University of Technology
2015
Expertise
Transportation Modeling and Simulation
Agent-based modeling, traffic microsimulation, travel demand analysis, calibration, validation, and scenario evaluation.
Traffic Operations and Intelligent Transportation Systems
Traffic operations, signal systems, connected transportation, real-time information, and operational analysis.
Transportation Safety and Driver Behavior
Traffic safety analysis, driver behavior modeling, lane-changing behavior, and data-driven safety applications.
Transportation Electrification
Electric vehicle charging demand, dynamic wireless power transfer, infrastructure planning, and electrified transportation systems.
Optimization, GIS, and Data Analytics
Optimization methods, spatial analysis, GIS, machine learning, and data-driven transportation applications.
Research
Research
Specialty
Transportation modeling and simulation; traffic operations; intelligent transportation systems; transportation safety; connected and automated transportation; transportation electrificationFunding
U.S. Department of Transportation (USDOT)
Group Information
REPS Tier 1 University Transportation Center, Howard University
Accomplishments
Accomplishments
TexITE Outstanding Student Award 2025
Recognized by the Texas District of the Institute of Transportation Engineers for academic achievement, research, leadership, and service in transportation engineering.
President, ITE UTEP Student Chapter
Served as President of the ITE UTEP Student Chapter during 2024–2025, supporting student activities, professional development, and transportation engineering engagement.
Engineer-in-Training (EIT)
Earned EIT certification after passing the FE Civil examination.
Publications and Presentations
Publications and Presentations
Agent-based simulation to predict the charging demands of electric vehicles in a city
Develops a MATSim-based agent-based model to predict spatial and temporal public EV charging demand at the city scale.
Enhancing fuzzy inference systems-based models for discretionary lane changing decisions
Improves fuzzy-inference-based lane-changing decision models by incorporating additional interaction variables and evaluating their performance for discretionary lane changes.
Fuzzy inference systems for discretionary lane changing decisions: Model improvements and research challenges
Reviews and evaluates fuzzy-inference approaches for discretionary lane-changing decisions and identifies opportunities for improving their accuracy and applicability.
Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways
Presents a methodology using statewide travel models, EV adoption data, and traffic volumes to forecast hourly charging demand and station capacity along intercity highways.
Evaluation of Machine Learning Models for Discretionary Lane Changing Decisions
Compares fuzzy inference systems, support vector machines, and artificial neural networks for predicting discretionary lane-changing decisions using vehicle trajectory data.
When Is a Safe Freeway Lane Change Possible? Relativity Principle Explains an Empirical Formula
Provides a theoretical explanation for an empirical safe-gap relationship used in freeway lane-changing models, linking the formulation to the relativity principle.
Investigating the Effects of the Exposure Therapy and Training on Driving Phobia Using a Driving Simulator
Examines the use of a driving simulator for exposure therapy and training to help individuals with driving phobia and evaluate changes in driving-related anxiety and behavior.