Crash Causal Explorer Lab
Causal analysis lab
Amir Rafe
Postdoctoral Researcher, Ingram School of Engineering
Texas State University
I am a transportation safety researcher with a Ph.D. in Civil and Environmental Engineering. My work connects crash and injury analysis, vulnerable road-user safety, causal AI, and human behavior modeling.
I build reproducible research tools that combine crash, roadway, exposure, telematics, and spatial data. I use these systems to support clear and auditable decisions in transportation safety and evacuation planning.
Tools
Pedestrian Fatal Crash News Observatory
Research dashboard
PEDAT
UDOT pedestrian data platform
CLB Finder
NCHRP 17-134 screening demo
FARS 2024
Spatial safety dashboard
CoCorridor-AI
Connected corridor digital twin
Agentic AI in Civil Engineering
Interactive learning resource
pAIper
AI manuscript review console
Transit Safety Collaboration Observatory
TCRP A-56 research demo
Age-Friendly Transit Atlas
TCRP B-58 research demo
BTS-39 Last Leg Toolkit
BTSCRP safety toolkit
CrashSketch AV
Neuro-symbolic crash tool
EvacuAIDi
Evacuation decision support
Other software and repositories
These projects have source links instead of generated thumbnails.
Traffic Safety VLM
Multimodal traffic-safety analysis for live streams and recorded video.
NeuroEvac
EEG analysis for virtual-reality evacuation studies.
Pew W152 Dashboard
Survey analysis of AI perceptions and driving-safety attitudes.
Crowd-Analyzer
Computer-vision analysis of pedestrian and crowd movement.
CrashAutoML
Automated machine-learning workflows for crash-severity data.
PedImpute
Anomaly detection and imputation for pedestrian-volume data.
Awesome Crowd Dynamics Hub
A curated collection of crowd and evacuation research tools.
Awesome Causal AI
A curated collection of causal-AI methods and software.
HFPaperFetch
A scheduled downloader for Hugging Face daily papers.
EnginML
An educational Python package for core machine-learning workflows.
Papers
Do Aviation Hazard Rankings Overlook Conservation-Concern Birds in U.S. Wildlife Strikes?
Transportation Research Part D: Transport and Environment, 161, 105602, 2026
Experimental Analysis and Disability-Aware Social Force Modeling of Heterogeneous Evacuation with Counterfactual Route Guidance
Physica A: Statistical Mechanics and its Applications, 131992, 2026
Decoding Pedestrian Severity at Crosswalks Using Hybrid Clustering and Random Parameter Models
Scientific Reports, 2026
Bridging the Black Box: A Survey on Mechanistic Interpretability in AI
ACM Computing Surveys, 58(8), Article 210, 2026
Pedestrian Crossing Behaviors at Signalized Intersections in Utah: Factors Affecting Spatial and Temporal Violations
International Journal of Transportation Science and Technology, 2025
Exploring the Complexity of Pedestrian Dynamics: Impact of Societal Behaviors and Personal Attributes in Urban Environments
Transportation Research Record, 2679(2), 136-160, 2025
Imputing Time Series Pedestrian Volume Data With Consideration of Epidemiological-Environmental Variables
Transportation Research Record, 2678(11), 281-298, 2024
A Comparative Study Using Generalized Ordered Probit, Stacking Ensemble, and TabNet: Application to Determinants of Pedestrian Crash Severity
Data Science for Transportation, 6(2), 13, 2024
Enhancing Occupant Evacuation Simulation Using LLMs and Retrieval-Augmented Generation
International Conference on Transportation and Development (ICTD) 2025, 2025
Exploring Pedestrian Evacuation Behavior Using a Virtual Reality Environment: An Eye-Tracking Study
International Conference on Transportation and Development (ICTD) 2025, 2025
Exploring the Determinants of Pedestrian Crash Severity Using an AutoML Approach
International Conference on Transportation and Development (ICTD) 2024, pp. 442-455, 2024
Podcast & videos
Decoding Causality explains causal reasoning, counterfactuals, bias, scientific discovery, and the limits of current AI.
S1E01. From Data to Discovery: How We Learned to Ask Why
YouTube15 min
S1E02. The Causality Quest: From Superstition to Science
YouTube18 min
S1E03. The Detective's Dilemma: How We Infer Causes from Evidence
YouTube19 min
S1E04. Untangling the Web: How to Overcome Hidden Bias in Data
YouTube13 min
S1E05. Breaking the Illusion: How to Prove Causation Without Experiments
YouTube16 min
S1E06. The Paradox Problem: When Data Misleads Our Intuition
YouTube12 min
Background
Appointments
- 2025–PresentPostdoctoral Researcher
AI in Transportation Lab, Texas State University
- 2022–2025Graduate Research Assistant
Singleton Transportation Lab, Utah State University
- 2012–2022Algorithm Engineer
Transportation modeling, simulation, and software development
Education
- 2025Ph.D., Civil and Environmental Engineering
Utah State University · Transportation Engineering
- 2013M.S., Civil and Environmental Engineering
Azad University · Transportation Engineering
- 2009B.S., Civil Engineering
Azad University