4 citations · 4 across the 5 of their papers we have counts for
5 papers
Machine Learning for Fairness-Aware Load Shedding: A Real-Time Solution via Identifying Binding Constraints
Yuqi Zhou, Joseph Severino, Sanjana Vijayshankar +2
Timely and effective load shedding in power systems is critical for maintaining supply-demand balance and preventing cascading blackouts. To eliminate load shedding bias against sp…
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
Juliette Ugirumurera, Joseph Severino, Erik A. Bensen +2
Traffic signals play an important role in transportation by enabling traffic flow management, and ensuring safety at intersections. In addition, knowing the traffic signal phase an…
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Ruixiao Sun, Rongze Gui, Himanshu Neema +6
Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assign…
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…
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…