Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
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Updated
Aug 30, 2022 - Python
Source codes and datasets used for the undergraduate capstone project entitled "Machine Learning Algorithms for the Detection of GPS Spoofing in Intelligent Transportation Systems"
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.
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
This is the final project for my D4 program majoring in Telecommunication Engineering at PENS, entitled Collision Warning Detection Analysis Using Visible Light Communication with C5.0 Algorithm
My Honors project for my Intelligent Transportation Class at Temple University in Fall 2023. This enriched my undergraduate Data Science education.
Scalable Reinforcement Learning Framework for Traffic Signal Control under Communication Delays
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
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".
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".
Python scripts for Austin Transportation's ETL tasks
This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".
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