[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
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Updated
Apr 1, 2024 - Python
[ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
a Map-Matching-based Python Toolbox for Vehicle Trajectory Reconstruction
[WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
This is the python code corresponding to the article "Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network".
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".
Traffic Control Test Bed
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
A Novel Spatio-Temporal Generative Inference Network for Predicting the Long-Term Highway Traffic Speed
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 ".
Connected & Automated Vehicles (CAV) Traffic Simulator created using Python and ChatGPT.
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)
Deep neural networks for daily long-term traffic flow forecasting
Code for "Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies"
[COMCOM 2022] GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones
Features injected recurrent neural networks for short-term traffic speed prediction
Scalable Reinforcement Learning Framework for Traffic Signal Control under Communication Delays
Traffic Light Control in Non-stationary Environments based on Multi Agent Machine Learning
This is my Intelligent Transportation Systems project.
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