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

Abstract

This paper presents a bibliographic and collaboration pattern analysis of the IEEE T <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ransactions on</small> I <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ntelligent</small> V <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ehicles (T-IV)</small> . 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.