Visualization Analysis on Literature Maps of Chinese Intelligent Vehicle Design Based on Citespace

Abstract

This study adopts the scientific metrology method, selects the relevant documents of intelligent vehicles in CNKI database from 2001 to 2021 as the data basis, and analyzes the atlas of Chinese intelligent vehicle design research papers with the help of CiteSpace software. The research shows that: (1) the number of documents issued has increased year by year, especially after 2017, which has gone through the stages of concept germination, technology exploration and market-oriented transition; (2) several closely related interdisciplinary research teams have been formed, and there are also a large number of independent research forms; (3) the topics and research perspectives of papers related to intelligent vehicles are obviously diversified, with a total of 12 cluster labels, 408 keyword nodes and 701 connections, forming a cross domain, open, high complexity and high-level design and research ecology; (4) research hotspots mainly focus on three categories: driving automation, information networking and energy electrification.