Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
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Updated
Nov 11, 2024 - Python
Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
Python scripts for Computer Simulation uni course with some extras
Este proyecto se creó en respuesta al desafío de modelización lanzado por Kopuru con el objetivo de predecir el tráfico en la entrada de un polígono industrial. Kopuru planteó este reto para abordar questiones relacionadas con la gestión del tráfico y mejorar la eficiencia en un entorno industrial.
Those are my (handout mode) slides in teaching traffic flow theory, which I spent a lot of time and effort
A science project that models the foot traffic of Boston Latin School using A*. Now open-sourced and ready to be used for any campus with a rotating schedule.
S.T.A.R.S: Simulating Traffic Agents in Realistic Scenarios (MRSD Capstone Project at CMU)
This repository contains the code and analysis for the research paper "Generating Realistic Traffic Scenarios: A Deep Learning Approach Using Generative Adversarial Networks (GANs)", presented at the Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications, 3(3).
C++ program that creates a 1-D position board with cars and evolves traffic over specified timesteps according to the Nager-Schreckenberg Traffic Model.
Design and Development of an intelligent electronic system for traffic modeling and parking management in urban centers
Computer simulation for 2014 MCM (Mathematical Competition in Modelling) Problem A: "Keep-Right-Except-to-Pass Highway Traffic Rule." Received "Meritorious" Award (top 10%) from MCM, as well as earned an "Outstanding Oral Presentation" Award at Central Washington University's 2014 SOURCE (Symposium Of University Research and Creative Expression).
🤖 Repository of the Bachelor's Thesis for the Bachelor's Degree in Computer Science from the University of Granada.
Zastosowanie równań różniczkowych do modelowania korków drogowych. Dopasowanie stworzonych modeli do rzeczywistego skrzyżowania.
Predictive Traffic Analysis with Google Cloud Platforms
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