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
Forked from potree/potree
WebGL point cloud viewer for large datasets
JavaScript
Forked from anishathalye/gemini
Gemini is a modern LaTex beamerposter theme 🖼
TeX
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.
The website for the Feng Group at the University of Michigan-Dearborn
An open-source, web-based, interactive dashboard to host, visualize, and analyze bicycle counter data.
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