Investigation of cyclist and pedestian impacts with motor vehicles using experimentation and simulation

Date

2010-02

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Thesis or dissertation

ISSN

Format

Free to read from

Citation

Abstract

Physical tests were performed with a bicycle and a dummy in a controlled laboratory environment to reproduce cyclist accidents. The kinematics of 13 sled tests were used to identify the cyclist head impact location, understand the interaction between the cyclist and bicycle and to validate a mathematical model. The finite element software code LS-DYNA was used to simulate 70 cyclist and pedestrian accidents with motor vehicles with four different vehicle shapes which supplemented the physical testing. The study has shown that when cyclists and pedestrians were struck by any of the vehicles their whole body kinematics can be distinguished into two phases, initially a rotation followed by a sliding action. The Sports Utility Vehicle (SUV) vehicle produced more of a rotation action rather than sliding, whereas the other vehicles produced a combination of the two. The current pedestrian legislation does not cover all head impact locations for cyclists and therefore needs to be extended to encompass the windscreen and A-Pillar regions of the vehicles. The wrap around distance (WAD) for all the vehicles, apart from the SUV, should be extended to encompass a larger region. For the SUV the current WAD region is adequate in protecting cyclists and pedestrians and does not need to change. The predicted head impactor angle for cyclists is 40 degrees which is lower than the current legislative value of 65 degrees and the predicted pedestrian head impact angle is higher at a value of 80 degrees for the MPV, SM and LFC. For the SUV the proposed impactor angle increased to 100 degrees for cyclists and pedestrians. This research has demonstrated significant differences in terms of input variables and outcomes between cyclist and pedestrian accidents involving vehicles. It has used mathematical models to obtain injury data from a human mathematical model and physical testing to replicate real world cyclist accident scenarios. Recommendations have been proposed for future legislative testing techniques for cyclists, based on existing pedestrian legislation. These recommendations to alter legislation will improve vehicle design and make future vehicles more cyclist-friendly.

Description

Software Description

Software Language

Github

Keywords

DOI

Rights

© Cranfield University, 2010. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.

Relationships

Relationships

Supplements

Funder/s