Search Results for author:
Found 8 papers, 2 papers with code
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
The upper layer is called Speed Planner, and is a centralized optimal control algorithm.
On the Constrained CAV Platoon Control Problem
The main objective of the connected and automated vehicle (CAV) platoon control problem is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics.
Virtual trajectories for I-24 MOTION: data and tools
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.
So you think you can track?
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.
CAV Traffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study
The effectiveness of the proposed traffic control algorithms is tested using a traffic control example and compared with existing proportional-integral (PI)- and model predictive control (MPC)- based controllers from the literature.
I-24 MOTION: An instrument for freeway traffic science
The datasets published with this article contains at least 4 hours of vehicle trajectory data for each of 10 days.
Automatic vehicle trajectory data reconstruction at scale
In this paper we propose an automatic trajectory data reconciliation to correct common errors in vision-based vehicle trajectory data.
General time-reversal equivariant neural network potential for magnetic materials
This study introduces time-reversal E(3)-equivariant neural network and SpinGNN++ framework for constructing a comprehensive interatomic potential for magnetic systems, encompassing spin-orbit coupling and noncollinear magnetic moments.
