A Pathway Forward: The Evolution of Intelligent Vehicles Research on IEEE T-IV

Haoran Wang, Xiao Wang, Xuan Li, Xingtang Wu, Jia Hu*, Yuanyuan Chen, Zhongmin Liu, Ying Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper presents a bibliographic and collaboration pattern analysis of the IEEE Transactions on Intelligent Vehicles (T-IV). In this paper, a journal analysis framework is proposed. The most productive/influential authors, institutions, and countries/regions are identified. The research group structure is generated. Hot research topics and trends are discussed. Analysis results find that: i) The U.S. is now dominating the IV research field. It contributes 32% of papers in the IEEE T-IV; ii) Vehicle planning, vehicle perception, and energy management are the top-three hottest research topics from 2016 to 2021; iii) The Cooperative Automation (CA) is a research trend that includes vehicle group control, platoon control, intersection management, cooperation security, and cooperative perception; iv) The new "3224"processing policy is demonstrated to reduce processing durations by 90% and attracts nine times more manuscripts.

Original languageEnglish
Pages (from-to)918-928
Number of pages11
JournalIEEE Transactions on Intelligent Vehicles
Volume7
Issue number4
DOIs
Publication statusPublished - 1 Dec 2022

Keywords

  • Bibliographic analysis
  • collaboration pattern
  • cooperative automation (CA)
  • intelligent vehicles (IV)

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