Search Results for author: William Barbour

Found 13 papers, 2 papers with code

Virtual trajectories for I-24 MOTION: data and tools

1 code implementation17 Nov 2023 Junyi Ji, Yanbing Wang, Derek Gloudemans, Gergely Zachár, William Barbour, Daniel B. Work

This article introduces a new virtual trajectory dataset derived from the I-24 MOTION INCEPTION v1. 0. 0 dataset to address challenges in analyzing large but noisy trajectory datasets.

MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits

no code implementations18 Oct 2023 Yuhang Zhang, Marcos Quinones-Grueiro, Zhiyao Zhang, Yanbing Wang, William Barbour, Gautam Biswas, Daniel Work

Variable Speed Limit (VSL) control acts as a promising highway traffic management strategy with worldwide deployment, which can enhance traffic safety by dynamically adjusting speed limits according to real-time traffic conditions.

Decision Making Management +2

So you think you can track?

no code implementations13 Sep 2023 Derek Gloudemans, Gergely Zachár, Yanbing Wang, Junyi Ji, Matt Nice, Matt Bunting, William Barbour, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre Bayen, Benjamin Seibold, Daniel B. Work

This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4. 2 mile stretch of 8-10 lane interstate highway near Nashville, TN.

Benchmarking Object +1

The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking

no code implementations28 Aug 2023 Derek Gloudemans, Yanbing Wang, Gracie Gumm, William Barbour, Daniel B. Work

This work presents a novel video dataset recorded from overlapping highway traffic cameras along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitoring context.

3D Object Tracking Object +1

Automatic vehicle trajectory data reconstruction at scale

no code implementations15 Dec 2022 Yanbing Wang, Derek Gloudemans, Junyi Ji, Zi Nean Teoh, Lisa Liu, Gergely Zachár, William Barbour, Daniel Work

In this paper we propose an automatic trajectory data reconciliation to correct common errors in vision-based vehicle trajectory data.

Benchmarking

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers

no code implementations22 Apr 2021 Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean McQuade, Brian Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold

This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems.

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