Human age and vehicle speeds affect on vehicle ingress motion pattern

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


The vehicle ingress and egress are important issues for the automotive industry, both for minimizing assembly work load and for maximizing end-users’ comfort. Digital human modeling tools are used for evaluating and visualizing these issues. The assembler and end-user are more or less performing the very same entering task if the vehicles have identical geometrical prerequisites. The major difference is the vehicle speed; an assembler is entering a vehicle slightly moving forward on the assembly line with a speed of 5 meter/minute whereas the end user’s vehicle is standing still. The human motion when entering a car is a complex biomechanical process, which affects many different body parts. Car ingress techniques, such as flopper, swiveler, and glider vary among humans; for which humans’ agility may be one affecting factor. Agility is affected by joint diseases, which is more frequent among older people. There are several studies regarding ingress motion patterns[1,2], but studies on the differences in car ingress motion between car assemblers and end-users, or older and younger people are rare. Thus the purpose of the present study was to compare the ingress motion between younger versus older persons, and assemblers versus end-users.


  • Lars Hanson
  • L Yong
  • T. Falkmer
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Production Engineering, Human Work Science and Ergonomics
Original languageEnglish
Title of host publicationDigital Human Modeling (Lecture Notes in Computer Science)
ISBN (Print)978-3-540-73318-8
Publication statusPublished - 2007
Publication categoryResearch
Event1st International Conference on Digital Human Modeling held at the HCI International 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

ISSN (Print)1611-3349
ISSN (Electronic)0302-9743


Conference1st International Conference on Digital Human Modeling held at the HCI International 2007