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Connected autonomous vehicles: State of practice

  • Muhammad Mobaidul Islam
  • , Abdullah Al Redwan Newaz
  • , Li Song
  • , Benjamin Lartey
  • , Shih-Chun Lin
  • , Wei Fan
  • , Ali Hajbabaie
  • , Mubbashar Altaf Khan
  • , Alireza Partovi
  • , Tienake Phuapaiboon
  • , Abdollah Homaifar
  • , Ali Karimoddini
  • Industrial and systems engineering with North Carolina A&T State University
  • Department of Computer Science
  • University of North Carolina at Charlotte
  • North Carolina State University
  • University of Notre Dame

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Connected autonomous vehicles (CAVs) have the potential to deal with the steady increase in road traffic while solving transportation related issues such as traffic congestion, pollution, and road safety. Therefore, CAVs are becoming increasingly popular and viewed as the next generation transportation solution. Although modular advancements have been achieved in the development of CAVs, these efforts are not fully integrated to operationalize CAVs in realistic driving scenarios. This paper surveys a wide range of efforts reported in the literature about the CAV developments, summarizes the CAV impacts from a statistical perspective, explores current state of practice in the field of CAVs in terms of autonomy technologies, communication backbone, and computation needs. Furthermore, this paper provides general guidance on how transportation infrastructures need to be prepared in order to effectively operationalize CAVs. The paper also identifies challenges that need to be addressed in near future for effective and reliable adoption of CAVs.
Original languageEnglish
Pages (from-to)684-700
Number of pages17
JournalApplied Stochastic Models in Business and Industry
Volume39
Issue number5
DOIs
StatePublished - Sep 1 2023

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • autonomous vehicles
  • CAV use cases
  • CAVs
  • V2I
  • V2V

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