Hierarchical Speed Planner for Automated Vehicles: A Framework for Lagrangian Variable Speed Limit in Mixed Autonomy Traffic

no code implementations • 26 Feb 2024 • Han Wang, Zhe Fu, Jonathan Lee, Hossein Nick Zinat Matin, Arwa Alanqary, Daniel Urieli, Sharon Hornstein, Abdul Rahman Kreidieh, Raphael Chekroun, William Barbour, William A. Richardson, Dan Work, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Alexandre M. Bayen, Maria Laura Delle Monache

The Speed Planner comprises two modules: a TSE enhancement module and a target speed design module.

Optimization of vaccination for COVID-19 in the midst of a pandemic

no code implementations • 17 Mar 2022 • Qi Luo, Ryan Weightman, Sean T. McQuade, Mateo Diaz, Emmanuel Trélat, William Barbour, Dan Work, Samitha Samaranayake, Benedetto Piccoli

During the Covid-19 pandemic a key role is played by vaccination to combat the virus.

Streaming data preprocessing via online tensor recovery for large environmental sensor networks

1 code implementation • 1 Sep 2021 • Yue Hu, Ao Qu, Yanbing Wang, Dan Work

Measuring the built and natural environment at a fine-grained scale is now possible with low-cost urban environmental sensor networks.

Graph Convolutional Networks for traffic anomaly

1 code implementation • 25 Dec 2020 • Yue Hu, Ao Qu, Dan Work

Event detection has been an important task in transportation, whose task is to detect points in time when large events disrupts a large portion of the urban traffic network.

Anomaly Detection Event Detection +1

Robust Tensor Recovery with Fiber Outliers for Traffic Events

no code implementations • 27 Aug 2019 • Yue Hu, Dan Work

In this article, we develop a method to detect extreme events in large traffic datasets, and to impute missing data during regular conditions.

Event Detection Tensor Decomposition