BikeDNA: Bicycle Infrastructure Data & Network Assessment
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Updated
Sep 15, 2025 - Jupyter Notebook
BikeDNA: Bicycle Infrastructure Data & Network Assessment
Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap
MoveWise is a behavior-aware MaaS optimization platform that uses Double DQN reinforcement learning, generalized cost modeling, and personalized nudges to shift users from car dependency to sustainable multimodal travel. It includes a Python/PyTorch RL engine, FastAPI backend, and React frontend with live route, nudge, and carbon-impact intelligenc
Code repository for creating a routable bicycle network from OSM data for all of Denmark classified into levels of traffic stress.
Some analysis from the outcome of the MoTMo agent-based model
AI-based traffic density detection and emergency vehicle prioritization
Code for analyzing the results from running BikeDNA BIG (https://github.com/anerv/BikeDNA_BIG) on bicycle infrastructure data from Denmark.
Code repository for the Sustainable Access to Sports and Outdoors project, extending the Mistra Sport and Outdoors programme. It focuses on measuring and visualizing accessibility to sports and outdoor activity locations across Sweden.
Dataset limpio de vehículos eléctricos en Washington (2011–2025)
Vehicle Trajectories Analyzer / Penn State University
This repository has all the codes that I wrote as assignment for mobility courses I took in University of Tartu.
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