Pablo Guarda's repositories
pesuelogit
Parameter Estimation of LOGIT-based Stochastic User Equilibrium models using computational graphs and day-to-day system-level data
probabilistic-graphical-transportation-networks
Probabilistic graphical models to learn Origin-Destination matrices in transportation networks using TensorFlow
neural-transportation-networks
Data-driven neural models to learn and predict travel behavior in transportation networks using PyTorch
route-choice-experiment
Lab experiment to study the impact of time perception on route choices in public transit. It presents choice scenarios using animations or numerical attributes. It is implemented with PyQT and conducted with participants from Santiago, Chile and London, UK.
Fundamentals-of-Transport-Engineering
Traffic engineering course I taught at University of Concepcion
nesuelogit
Network-wide prediction of traffic flow and travel time with macroscopic models and computational graphs
aequilibrae
aequilibrae - Python package for transportation modeling
brtbenchmark
R project to benchmark bus rapid transit systems worldwide
inverse-astar-search
Course Project for Graduate Artificial Intelligence (CMU 15780 Spring 2020)
MAC-POSTS
Mobility Data Analytics Center - Prediction, Optimization, and Simulation toolkit for Transportation Systems
perceived-route-choice
This repository contains R code that analyzes data gathered from a lab experiment that studies the influence of time perception on route choices in public transport
Optimization
Optimization course taught at University of Concepción
pabloguarda.github.io
My website
TransportationNetworks
Transportation Networks for Research