Advanced multiple object tracker using dlib and OpenCV.
Transportation Safety segmentation and crash analysis
Geographically Weighted Negative Binomial Regression in Python - local spatial modeling for over dispersed count data.
Bicycle accidents in Allegheny County, 2004 - 2017
Cyclist safety risk assessment application for Austin using Random Forest classification with SMOTE for class balancing. Interactive Streamlit web app predicts cycling incident severity based on time, location, and environmental conditions to promote safer cycling practices.
Work-zone connected safety pilot system with local-first hazard propagation, authenticated messaging, and KPI evidence generation.
Random Parameters Negative Binomial crash-frequency modeling, pre- vs. post-COVID, with an open-source Python RPNB estimator validated against NLOGIT.
Reproducible pipeline for cleaning Kansas crash records (KCARS/KORA, 2013-2024) into ML- and geospatial-analysis-ready data for traffic safety research. Includes sample dataset, full documentation, and an interactive filter tool.
ucb-stat-159-f25-classroom-final-final created by GitHub Classroom
data analysis of accelerometer data from subway rides in Porto, Portugal
Two-stage (hurdle) ML framework for daily crash occurrence and frequency prediction at the census-tract level, addressing zero-inflation, class imbalance, and weather spatial mismatch.
운수종사자 운전적성정밀검사 위험군 라벨 예측 연구의 재현 코드와 집계 결과
A Raspberry Pi-based real-time driver monitoring system that detects drowsiness using facial features and heart rate data, providing alerts to drivers and SMS notifications to taxi fleet operators.
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