Skip to main navigation Skip to search Skip to main content

Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives

  • Haiyang Yu
  • , Rui Jiang
  • , Zhengbing He*
  • , Zuoduo Zheng
  • , Li Li
  • , Runkun Liu
  • , Xiqun Chen
  • *Corresponding author for this work
  • Beijing Jiaotong University
  • Beijing University of Technology
  • University of Queensland
  • Tsinghua University
  • Beihang University
  • Zhejiang University

Research output: Contribution to journalArticlepeer-review

Abstract

Automated vehicles (AVs) are widely considered to play a crucial role in future transportation systems because of their speculated capabilities in improving road safety, saving energy consumption, reducing vehicle emissions, increasing road capacity, and stabilizing traffic. To materialize these widely expected potentials of AVs, a sound understanding of AVs’ impacts on traffic flow is essential. Not surprisingly, despite the relatively short history of AVs, there have been numerous studies in the literature focusing on understanding and modeling various aspects of AV-involved traffic flow and significant progresses have already been made. To understand the recent development and ultimately inspire new research ideas on this important topic, this survey systematically and comprehensively reviews the existing AV-involved traffic flow models with different levels of details, and examines the relationship among the design of AV-based driving strategies, the management of transportation systems, and the resulting traffic dynamics. The pros and cons of the existing models and approaches are critically discussed, and future research directions are also provided.

Original languageEnglish
Article number103101
JournalTransportation Research Part C: Emerging Technologies
Volume127
DOIs
StatePublished - Jun 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Automated vehicles
  • Road capacity
  • Traffic dynamics
  • Traffic flow

Fingerprint

Dive into the research topics of 'Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives'. Together they form a unique fingerprint.

Cite this