Advancing sustainable, active, and equitable modes of transportation through data-driven insights & technologies
Website: https://fenggroup.org/
Advancing sustainable, active, and equitable modes of transportation through data-driven insights & technologies
Website: https://fenggroup.org/
An open-source, web-based, interactive dashboard to host, visualize, and analyze bicycle counter data.
Python 5
Forked from mpa139/allanlab
The website for the Feng Group at the University of Michigan-Dearborn
SCSS 1
Forked from potree/potree
WebGL point cloud viewer for large datasets
JavaScript
Forked from anishathalye/gemini
Gemini is a modern LaTex beamerposter theme 🖼
TeX
The website for the Feng Group at the University of Michigan-Dearborn
VehiclePassTracker algorithm for detecting and analyzing vehicle overtaking events
This repository contains a modular Python pipeline for analyzing bicycle–vehicle interactions using LiDAR point-cloud data. The algorithm detects vehicles, tracks them across frames, estimates bicycle and vehicle speeds, summarizes passing events, and computes surrogate safety metrics.
This dataset contains high-resolution LiDAR point cloud data collected using a bicycle-mounted sensing platform to study vehicle overtaking behavior and cyclist safety. The data capture vehicle trajectories, passing distances, and temporal dynamics of overtaking events in urban roadway environments.
An open-source, web-based, interactive dashboard to host, visualize, and analyze bicycle counter data.
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