22 citations · 35 across the 8 of their papers we have counts for
8 papers
Distributed macroscopic traffic simulation with Open Traffic Models
Gabriel Gomes, Juliette Ugirumurera, Xiaoye Li
This paper presents OTM-MPI, an extension of the Open Traffic Models platform (OTM) for running macroscopic traffic simulations in high-performance computing environments. Macrosco…
Open Traffic Models -- A framework for hybrid simulation of transportation networks
Gabriel Gomes
This paper introduces a new approach to hybrid traffic modeling, along with its implementation in software. The software allows modelers to assign traffic models to individual link…
Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture
Anahita Jamshidnejad, Gabriel Gomes, Alexandre M. Bayen +1
We propose an integrated control architecture to address the gap that currently exists for efficient real-time implementation of MPC-based control approaches for highly nonlinear s…
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li +2
Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting. Machine learning algorithms adjust mod…
A unified software framework for solving traffic assignment problems
Juliette Ugirumurera, Gabriel Gomes, Emily Porter +2
We describe a software framework for solving user equilibrium traffic assignment problems. The design is based on the formulation of the problem as a variational inequality. The so…
Expert Level control of Ramp Metering based on Multi-task Deep Reinforcement Learning
Francois Belletti, Daniel Haziza, Gabriel Gomes +1
This article shows how the recent breakthroughs in Reinforcement Learning (RL) that have enabled robots to learn to play arcade video games, walk or assemble colored bricks, can be…