Integrated Traffic Flow Models and Analysis for Automated Vehicles

Bart van Arem, Montasir M. Abbas, Xiaopeng Li, Larry Head, Xuesong Zhou, Danjue Chen, Robert Bertini, Stephen P. Mattingly, Haizhong Wang, Gabor Orosz

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

With the emergence of connected and automated vehicle (CAV) technologies, research on traffic flow modeling and analysis will play a very important role in improving our understanding of the fundamental characteristics of traffic flow. The frontier of studies on CAV systems have examined the impacts of CAVs on freeway bottleneck capacity, and macroscopic traffic flow, CAV applications on optimization of individual vehicle trajectories, potentials of CAV in traffic signal control, and applications of CAV in network routing. For current and future research initiatives, the greatest challenge lies in the potential inconsistencies between user, operator, and manufacturer goals. Specific research needs were identified on data collection and analysis on CAV behavior and applications. This paper summarizes the presentations and discussions during the Automated Vehicles Symposium 2015 (AVS15) held in Ypsilanti, Michigan, on July 20–23, 2015.

Original languageEnglish (US)
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media Deutschland GmbH
Pages249-258
Number of pages10
DOIs
StatePublished - 2016

Publication series

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

Keywords

  • CAV behavior
  • Data collection
  • Research needs
  • Traffic flow model

ASJC Scopus subject areas

  • Energy (miscellaneous)
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

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