Energy-optimal coordination of connected and automated vehicles at multiple intersections

A. M. Ishtiaque Mahbub; Liuhui Zhao; Dimitris Assanis; Andreas A. Malikopoulos

doi:10.23919/acc.2019.8814877

Energy-optimal coordination of connected and automated vehicles at multiple intersections

A. M. Ishtiaque Mahbub
, Liuhui Zhao
, Dimitris Assanis
, Andreas A. Malikopoulos

Mechanical Engineering

University of Delaware

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

25 Scopus citations

Abstract

Urban intersections, merging roadways, roundabouts, and speed reduction zones along with the driver responses to various disturbances are the primary sources of bottlenecks in corridors that contribute to traffic congestion. The implementation of connected and automated technologies can enable a novel computational framework for real-time control aimed at optimizing energy consumption and travel time. In this paper, we propose a decentralized energy-efficient optimal control framework for two adjacent intersections. We derive a closed-form analytical solution that includes interior boundary conditions and evaluate the effectiveness of the solution through simulation. Fuel consumption and travel time are significantly reduced compared to the baseline scenario designed with conventional fixed time signalized intersections.

Original language	English
Title of host publication	2019 American Control Conference, ACC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2664-2669
Number of pages	6
ISBN (Electronic)	9781538679265
DOIs	https://doi.org/10.23919/acc.2019.8814877
State	Published - Jul 2019
Event	2019 American Control Conference, ACC 2019 - Philadelphia, United States Duration: Jul 10 2019 → Jul 12 2019

Publication series

Name	Proceedings of the American Control Conference
Volume	2019-July
ISSN (Print)	0743-1619

Conference

Conference	2019 American Control Conference, ACC 2019
Country/Territory	United States
City	Philadelphia
Period	07/10/19 → 07/12/19

Access to Document

10.23919/acc.2019.8814877

Cite this

Ishtiaque Mahbub, A. M., Zhao, L., Assanis, D., & Malikopoulos, A. A. (2019). Energy-optimal coordination of connected and automated vehicles at multiple intersections. In 2019 American Control Conference, ACC 2019 (pp. 2664-2669). Article 8814877 (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/acc.2019.8814877

@inproceedings{b483eb8a5a7c460499e032fa1a901a74,

title = "Energy-optimal coordination of connected and automated vehicles at multiple intersections",

abstract = "Urban intersections, merging roadways, roundabouts, and speed reduction zones along with the driver responses to various disturbances are the primary sources of bottlenecks in corridors that contribute to traffic congestion. The implementation of connected and automated technologies can enable a novel computational framework for real-time control aimed at optimizing energy consumption and travel time. In this paper, we propose a decentralized energy-efficient optimal control framework for two adjacent intersections. We derive a closed-form analytical solution that includes interior boundary conditions and evaluate the effectiveness of the solution through simulation. Fuel consumption and travel time are significantly reduced compared to the baseline scenario designed with conventional fixed time signalized intersections.",

author = "\{Ishtiaque Mahbub\}, \{A. M.\} and Liuhui Zhao and Dimitris Assanis and Malikopoulos, \{Andreas A.\}",

note = "Publisher Copyright: {\textcopyright} 2019 American Automatic Control Council.; 2019 American Control Conference, ACC 2019 ; Conference date: 10-07-2019 Through 12-07-2019",

year = "2019",

month = jul,

doi = "10.23919/acc.2019.8814877",

language = "English",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2664--2669",

booktitle = "2019 American Control Conference, ACC 2019",

}

Ishtiaque Mahbub, AM, Zhao, L, Assanis, D & Malikopoulos, AA 2019, Energy-optimal coordination of connected and automated vehicles at multiple intersections. in 2019 American Control Conference, ACC 2019., 8814877, Proceedings of the American Control Conference, vol. 2019-July, Institute of Electrical and Electronics Engineers Inc., pp. 2664-2669, 2019 American Control Conference, ACC 2019, Philadelphia, United States, 07/10/19. https://doi.org/10.23919/acc.2019.8814877

Energy-optimal coordination of connected and automated vehicles at multiple intersections. / Ishtiaque Mahbub, A. M.; Zhao, Liuhui; Assanis, Dimitris et al.
2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2664-2669 8814877 (Proceedings of the American Control Conference; Vol. 2019-July).

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

TY - GEN

T1 - Energy-optimal coordination of connected and automated vehicles at multiple intersections

AU - Ishtiaque Mahbub, A. M.

AU - Zhao, Liuhui

AU - Assanis, Dimitris

AU - Malikopoulos, Andreas A.

PY - 2019/7

Y1 - 2019/7

N2 - Urban intersections, merging roadways, roundabouts, and speed reduction zones along with the driver responses to various disturbances are the primary sources of bottlenecks in corridors that contribute to traffic congestion. The implementation of connected and automated technologies can enable a novel computational framework for real-time control aimed at optimizing energy consumption and travel time. In this paper, we propose a decentralized energy-efficient optimal control framework for two adjacent intersections. We derive a closed-form analytical solution that includes interior boundary conditions and evaluate the effectiveness of the solution through simulation. Fuel consumption and travel time are significantly reduced compared to the baseline scenario designed with conventional fixed time signalized intersections.

AB - Urban intersections, merging roadways, roundabouts, and speed reduction zones along with the driver responses to various disturbances are the primary sources of bottlenecks in corridors that contribute to traffic congestion. The implementation of connected and automated technologies can enable a novel computational framework for real-time control aimed at optimizing energy consumption and travel time. In this paper, we propose a decentralized energy-efficient optimal control framework for two adjacent intersections. We derive a closed-form analytical solution that includes interior boundary conditions and evaluate the effectiveness of the solution through simulation. Fuel consumption and travel time are significantly reduced compared to the baseline scenario designed with conventional fixed time signalized intersections.

UR - https://www.scopus.com/pages/publications/85072289986

U2 - 10.23919/acc.2019.8814877

DO - 10.23919/acc.2019.8814877

M3 - Conference contribution

AN - SCOPUS:85072289986

T3 - Proceedings of the American Control Conference

SP - 2664

EP - 2669

BT - 2019 American Control Conference, ACC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 American Control Conference, ACC 2019

Y2 - 10 July 2019 through 12 July 2019

ER -

Energy-optimal coordination of connected and automated vehicles at multiple intersections

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this