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DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
123D: A Unified Library for Multi-Modal Autonomous Driving Data
Python Library for Traffic Analysis and Situation Interpretation
Improved Adaptive Smoothing Method Implementation
Fast map matching, an open source framework in C++
The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.
Package for solving hyperbolic systems of partial differential equations
A curated list of podcasts, videos, newsletters, and analysis that provide broad context for transportation research, technology, policy, and industry thinking.
Official GitHub repository for Argoverse dataset
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
KDD 2025: "Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"
A gymnasium style environment for standardized Reinforcement Learning research in Air Traffic Management. Built on the BlueSky Air Traffic Simulator
Official code of Geometric Autoencoder for Diffusion Models.
Code for Data driven discovery of cyber physical systems
Python library to decode J2735 encoded UPER hex (Currently supporting BSM, MAP, SPaT).
Temporal matrix factorization for sparse traffic time series forecasting.
[KDD 2026 Oral] MobilityBench: A Scalable Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
A collection of Claude Code skills for academic research review. These tools were developed by Claes Bäckman.
Integrated optimization for vehicle trajectory reconstruction in V2X cooperative-perception environments.