Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management

Lily Elefteriadou; Blaine Leonard; Lili Du; Wei Ma; Jun Liu; Kuilin Zhang; Jiaqi Ma; Ziqi Song; Xiaopeng Li; Sevgi Erdogan

doi:10.1007/978-3-030-52840-9_5

Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management

Lily Elefteriadou, Blaine Leonard, Lili Du, Wei Ma, Jun Liu, Kuilin Zhang, Jiaqi Ma, Ziqi Song, Xiaopeng Li, Sevgi Erdogan

Research output: Chapter in Book/Entry/Poem › Chapter

1 Scopus citations

Abstract

The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documents lecture notes of the first AVS breakout session on network modeling, which discusses the latest developments in network AV operations, modeling and simulation from academia, government, and industry perspectives. Specifically, the consensus reached in an attempt to answer questions on how to manage AV fleets in a networked environment, and control mixed traffic to optimally utilize network capacity and challenges ahead, as well as directions for research, practice and policy making are summarized.

Original language	English (US)
Title of host publication	Lecture Notes in Mobility
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	49-62
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-030-52840-9_5
State	Published - 2020
Externally published	Yes

Publication series

Name	Lecture Notes in Mobility
ISSN (Print)	2196-5544
ISSN (Electronic)	2196-5552

Keywords

AV fleet management
Network capacity
Network modeling
Vehicle control

ASJC Scopus subject areas

Energy (miscellaneous)
Control and Systems Engineering
Transportation
Automotive Engineering

Access to Document

10.1007/978-3-030-52840-9_5

Cite this

Elefteriadou, L., Leonard, B., Du, L., Ma, W., Liu, J., Zhang, K., Ma, J., Song, Z., Li, X., & Erdogan, S. (2020). Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management. In Lecture Notes in Mobility (pp. 49-62). (Lecture Notes in Mobility). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-52840-9_5

Elefteriadou, L, Leonard, B, Du, L, Ma, W, Liu, J, Zhang, K, Ma, J, Song, Z, Li, X & Erdogan, S 2020, Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management. in Lecture Notes in Mobility. Lecture Notes in Mobility, Springer Science and Business Media Deutschland GmbH, pp. 49-62. https://doi.org/10.1007/978-3-030-52840-9_5

@inbook{00dbc5b8be7140d1b5b1c700fdd1d84f,

title = "Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management",

abstract = "The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documents lecture notes of the first AVS breakout session on network modeling, which discusses the latest developments in network AV operations, modeling and simulation from academia, government, and industry perspectives. Specifically, the consensus reached in an attempt to answer questions on how to manage AV fleets in a networked environment, and control mixed traffic to optimally utilize network capacity and challenges ahead, as well as directions for research, practice and policy making are summarized.",

keywords = "AV fleet management, Network capacity, Network modeling, Vehicle control",

author = "Lily Elefteriadou and Blaine Leonard and Lili Du and Wei Ma and Jun Liu and Kuilin Zhang and Jiaqi Ma and Ziqi Song and Xiaopeng Li and Sevgi Erdogan",

note = "Funding Information: AV shuttle. It operates in the downtown Gainesville area, under a pilot project funded by FDOT. The shuttle is operated by the Regional Transit System (RTS) of Gainesville, and it is available for free to the general public. An on-going project is evaluating the acceptance and use of autonomy, and the behavior of traffic around the AV shuttle. Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2020",

doi = "10.1007/978-3-030-52840-9_5",

language = "English (US)",

series = "Lecture Notes in Mobility",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "49--62",

booktitle = "Lecture Notes in Mobility",

address = "Germany",

}

TY - CHAP

T1 - Enabling Transportation Networks with Automated Vehicles

T2 - From Individual Vehicle Motion Control to Networked Fleet Management

AU - Elefteriadou, Lily

AU - Leonard, Blaine

AU - Du, Lili

AU - Ma, Wei

AU - Liu, Jun

AU - Zhang, Kuilin

AU - Ma, Jiaqi

AU - Song, Ziqi

AU - Li, Xiaopeng

AU - Erdogan, Sevgi

N1 - Funding Information: AV shuttle. It operates in the downtown Gainesville area, under a pilot project funded by FDOT. The shuttle is operated by the Regional Transit System (RTS) of Gainesville, and it is available for free to the general public. An on-going project is evaluating the acceptance and use of autonomy, and the behavior of traffic around the AV shuttle. Publisher Copyright: © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documents lecture notes of the first AVS breakout session on network modeling, which discusses the latest developments in network AV operations, modeling and simulation from academia, government, and industry perspectives. Specifically, the consensus reached in an attempt to answer questions on how to manage AV fleets in a networked environment, and control mixed traffic to optimally utilize network capacity and challenges ahead, as well as directions for research, practice and policy making are summarized.

AB - The technologies and models linking individual vehicle control and network operations, despite their critical role in determining whether automated vehicle (AV) technologies can eventually evolve to massive real-world deployments, seem to be an under-represented topic at the Automated Vehicles Symposium (AVS) in the past years. This chapter documents lecture notes of the first AVS breakout session on network modeling, which discusses the latest developments in network AV operations, modeling and simulation from academia, government, and industry perspectives. Specifically, the consensus reached in an attempt to answer questions on how to manage AV fleets in a networked environment, and control mixed traffic to optimally utilize network capacity and challenges ahead, as well as directions for research, practice and policy making are summarized.

KW - AV fleet management

KW - Network capacity

KW - Network modeling

KW - Vehicle control

UR - http://www.scopus.com/inward/record.url?scp=85117078087&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85117078087&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-52840-9_5

DO - 10.1007/978-3-030-52840-9_5

M3 - Chapter

AN - SCOPUS:85117078087

T3 - Lecture Notes in Mobility

SP - 49

EP - 62

BT - Lecture Notes in Mobility

PB - Springer Science and Business Media Deutschland GmbH

ER -

Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this