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A graph method of description of driving behaviour characteristics under the guidance of navigation prompt message

Published online by Cambridge University Press:  15 August 2022

Liping Yang ,
Yang Bian ,
Xiaohua Zhao Open the ORCID record for Xiaohua Zhao [Opens in a new window] ,
Yiping Wu ,
Hao Liu  and
Xiaoming Liu
Liping Yang
Affiliation:
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China School of information and electrical engineering, Zhejiang University City College, Hangzhou, China
Yang Bian
Affiliation:
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
Xiaohua Zhao*
Affiliation:
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China
Yiping Wu
Affiliation:
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
Hao Liu
Affiliation:
Beijing Transportation Information Center, Beijing Municipal Commission of Transportation, Beijing, China
Xiaoming Liu
Affiliation:
Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
*
*Corresponding author. E-mail: [email protected]
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Abstract

To verify whether a graph is suitable for describing driver behaviour performance under the effects of navigation information, this study applies two types of prompt messages: simple and detailed. The simple messages contain only direction instructions, while the detailed messages contain distance, direction, road and lane instructions. A driving simulation experiment was designed to collect the empirical data. Two vehicle operating indicators (velocity and lateral offset), and two driver manoeuvre indicators (accelerator power and steering wheel angle) were selected, and T-test was used to compare the differences of behavioural performance. Driving behaviour graphs were constructed for the two message conditions; their characteristics and similarities were further analysed. Finally, the results of T-test of behavioural performance and similarity results of the driving behaviour graphs were compared. Results indicated that the two different types of prompt messages were associated with significant differences in driving behaviours, which implies that it is feasible to describe the characteristics of driving behaviours guided by navigation information using such graphs. This study provides a new method for systematically exploring the mechanisms affecting drivers’ response to navigation information, and presents a new perspective for the optimisation of navigation information.

Keywords

navigation prompt messagedriving behaviour graphdriving simulator technology
Type
Research Article
Information
The Journal of Navigation , Volume 75 , Issue 5 , September 2022 , pp. 1167 - 1189
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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