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

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

doi:10.1145/3459609.3460530

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

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 RossSydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold

Civil and Urban Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021
Publisher	Association for Computing Machinery, Inc
Pages	41-47
Number of pages	7
ISBN (Electronic)	9781450384452
DOIs	https://doi.org/10.1145/3459609.3460530
State	Published - May 18 2021
Event	1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021 - Virtual, Online, United States Duration: May 18 2021 → …

Publication series

Name	DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021

Conference

Conference	1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021
Country/Territory	United States
City	Virtual, Online
Period	5/18/21 → …

Keywords

automated vehicles
energy models
fuel economy
microsimulation
traffic control systems

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1145/3459609.3460530

Cite this

Lee, J. W., Gunter, G., Ramadan, R., Almatrudi, S., Arnold, P., Aquino, J., Barbour, W., Bhadani, R., Carpio, J., Chou, F. C., Gibson, M., Gong, X., Hayat, A., Khoudari, N., Kreidieh, A. R., Kumar, M., Lichtlé, N., Mcquade, S., Nguyen, B., ... Seibold, B. (2021). Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. In DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021 (pp. 41-47). (DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021). Association for Computing Machinery, Inc. https://doi.org/10.1145/3459609.3460530

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. / Lee, Jonathan W.; Gunter, George; Ramadan, Rabie et al.
DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021. Association for Computing Machinery, Inc, 2021. p. 41-47 (DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, JW, Gunter, G, Ramadan, R, Almatrudi, S, Arnold, P, Aquino, J, Barbour, W, Bhadani, R, Carpio, J, Chou, FC, Gibson, M, Gong, X, Hayat, A, Khoudari, N, Kreidieh, AR, Kumar, M, Lichtlé, N, Mcquade, S, Nguyen, B, Ross, M, Truong, S, Vinitsky, E, Zhao, Y, Sprinkle, J, Piccoli, B, Bayen, AM, Work, DB & Seibold, B 2021, Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. in DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021. DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021, Association for Computing Machinery, Inc, pp. 41-47, 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021, Virtual, Online, United States, 5/18/21. https://doi.org/10.1145/3459609.3460530

Lee JW, Gunter G, Ramadan R, Almatrudi S, Arnold P, Aquino J et al. Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. In DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021. Association for Computing Machinery, Inc. 2021. p. 41-47. (DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021). doi: 10.1145/3459609.3460530

Lee, Jonathan W. ; Gunter, George ; Ramadan, Rabie et al. / Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021. Association for Computing Machinery, Inc, 2021. pp. 41-47 (DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021).

@inproceedings{8812d1f463b94f59bdc52435330aa0d2,

title = "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.",

keywords = "automated vehicles, energy models, fuel economy, microsimulation, traffic control systems",

author = "Lee, {Jonathan W.} 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 Chou, {Fang Chieh} and Marsalis Gibson and Xiaoqian Gong and Amaury Hayat and Nour Khoudari and Kreidieh, {Abdul Rahman} and Maya Kumar and Nathan Lichtl{\'e} 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 Bayen, {Alexandre M.} and Work, {Daniel B.} and Benjamin Seibold",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021 ; Conference date: 18-05-2021",

year = "2021",

month = may,

day = "18",

doi = "10.1145/3459609.3460530",

language = "English (US)",

series = "DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021",

publisher = "Association for Computing Machinery, Inc",

pages = "41--47",

booktitle = "DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021",

}

TY - GEN

T1 - Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers

AU - Lee, Jonathan W.

AU - Gunter, George

AU - Ramadan, Rabie

AU - Almatrudi, Sulaiman

AU - Arnold, Paige

AU - Aquino, John

AU - Barbour, William

AU - Bhadani, Rahul

AU - Carpio, Joy

AU - Chou, Fang Chieh

AU - Gibson, Marsalis

AU - Gong, Xiaoqian

AU - Hayat, Amaury

AU - Khoudari, Nour

AU - Kreidieh, Abdul Rahman

AU - Kumar, Maya

AU - Lichtlé, Nathan

AU - Mcquade, Sean

AU - Nguyen, Brian

AU - Ross, Megan

AU - Truong, Sydney

AU - Vinitsky, Eugene

AU - Zhao, Yibo

AU - Sprinkle, Jonathan

AU - Piccoli, Benedetto

AU - Bayen, Alexandre M.

AU - Work, Daniel B.

AU - Seibold, Benjamin

PY - 2021/5/18

Y1 - 2021/5/18

N2 - 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.

AB - 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.

KW - automated vehicles

KW - energy models

KW - fuel economy

KW - microsimulation

KW - traffic control systems

UR - http://www.scopus.com/inward/record.url?scp=85108118720&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85108118720&partnerID=8YFLogxK

U2 - 10.1145/3459609.3460530

DO - 10.1145/3459609.3460530

M3 - Conference contribution

AN - SCOPUS:85108118720

T3 - DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021

SP - 41

EP - 47

BT - DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021

PB - Association for Computing Machinery, Inc

T2 - 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021

Y2 - 18 May 2021

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this