Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers
Abstract
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. This framework serves as a key building block in developing control strategies for human-in-the-loop traffic flow smoothing on real highways. In this contribution, we outline the fundamental merits of integrating vehicle dynamics and energy modeling into a single framework, and we demonstrate the energy impact of sparse flow smoothing controllers via simulation results.
Cite
@article{arxiv.2104.11267,
title = {Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers},
author = {Jonathan W. Lee and George Gunter and Rabie Ramadan and Sulaiman Almatrudi and Paige Arnold and John Aquino and William Barbour and Rahul Bhadani and Joy Carpio and Fang-Chieh Chou and Marsalis Gibson and Xiaoqian Gong and Amaury Hayat and Nour Khoudari and Abdul Rahman Kreidieh and Maya Kumar and Nathan Lichtlé and Sean McQuade and Brian Nguyen and Megan Ross and Sydney Truong and Eugene Vinitsky and Yibo Zhao and Jonathan Sprinkle and Benedetto Piccoli and Alexandre M. Bayen and Daniel B. Work and Benjamin Seibold},
journal= {arXiv preprint arXiv:2104.11267},
year = {2021}
}