Digital human modeling in automotive engineering applications: a systematic review and bibliometric mapping

Autor: Jingwen Hu, Peijing Li, Jian LI
Rok vydání: 2022
Popis: Review question / Objective: The aim of this systematic review is to investigate the state of the art of digital human models (DHMs) applied in the field of transportation and automotive engineering, to better inform the development of new models for such use cases. To this end, the proposed systematic review will address the following questions: What is the general trend of research in this field? Which specific use cases, methodologies, and human models are being more widely studied or utilized than others? How can we describe such study characteristics in a structured and quantitative manner? Eligibility criteria: Eligible publications included in the review are screened according to the following criteria: (a) The publication must be a full-text article published in an academic journal or in the proceedings of an academic conference, (b) The publication must be final and the article must be in press, (c) The language of the publication must be English, (d) The publication must apply digital human models in a transportation or automotive engineering context, (e) No particular restrictions are placed on the country and/or region of origin of the publication.
Databáze: OpenAIRE