a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
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Updated
Feb 2, 2024 - Python
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
Traffic Control Test Bed
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
Deep neural networks for daily long-term traffic flow forecasting
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
Python scripts for Austin Transportation's ETL tasks
This is the python code corresponding to the article "Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers ".
A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed
This repository contains the code for the paper "LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments".
Intersection Management System (Python)
This is the python code corresponding to the article "Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network".
Connected & Automated Vehicles (CAV) Traffic Simulator created using Python and ChatGPT.
Traffic Light Control in Non-stationary Environments based on Multi Agent Machine Learning
A sanic app that connects COA staff to traffic camera feeds.
Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
A curated list of Vehicle to X (V2X) resources (continually updated)
This is my Intelligent Transportation Systems project.
Features injected recurrent neural networks for short-term traffic speed prediction
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