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/Report/Conference proceedingChapter

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 languageEnglish (US)
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media Deutschland GmbH
Pages49-62
Number of pages14
DOIs
StatePublished - 2020

Publication series

NameLecture 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)
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

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