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Author:

Bian Yang (Bian Yang.) | Zhang Xiaolong (Zhang Xiaolong.) | Wu Yiping (Wu Yiping.) | Zhao Xiaohua (Zhao Xiaohua.) | Liu Hao (Liu Hao.) | Su Yuelong (Su Yuelong.)

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SSCI EI Scopus PubMed

Abstract:

An audio navigation system is a very useful tool for driving path guidance with less distraction. However, the influence of the audio navigation system on driver behavior, especially in complicated road environments, is still not entirely clear. This study aims to investigate navigation prompt timing (NPT), navigation prompt message (NPM), and their combination in an audio navigation system on driving behavior on an urban expressway with five exits. Driving simulator technology was used to reproduce the experimental environment and obtain driver behavior data. Four indicators-speed, standard deviation of speed, absolute values of acceleration, and depth of accelerator-were selected to examine the main and interactive effects of NPT, NPM, and their combination based on repeated measures analysis of variance. The results show that the driver's psychological state and operation of the vehicle on the urban expressway were affected by the prompt timing and messages of the audio navigation system. An interaction effect existed between prompt timing and prompt messages of the system, and this effect adjusted the effect on the driver's psychological state and vehicle operation caused by these two important factors. This study contributes to our understanding of the influence of audio navigation systems on driver behavior in complex road environments and thus lays a foundation for developing standard audio navigation broadcast guidelines to improve drivers' acceptance of navigation systems, reduce drivers' cognitive workload, and improve the level of vehicle operation safety.

Keyword:

Navigation prompt messages Driving simulator Navigation prompt timing Urban expressway with five exits Driver behavior

Author Community:

  • [ 1 ] [Bian Yang]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China. Electronic address: bianyang@bjut.edu.cn
  • [ 2 ] [Zhang Xiaolong]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China. Electronic address: zhangxiaolong@emails.bjut.edu.cn
  • [ 3 ] [Wu Yiping]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China. Electronic address: wuyiping@bjut.edu.cn
  • [ 4 ] [Zhao Xiaohua]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, PR China; State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100084, PR China. Electronic address: zhaoxiaohua@bjut.edu.cn
  • [ 5 ] [Liu Hao]Beijing Transportation Information Center, Beijing, 100073, PR China. Electronic address: hao.liu@bjjtw.gov.cn
  • [ 6 ] [Su Yuelong]Traffic management solution division AutoNavi Software Co. Beijing, 100102, PR China. Electronic address: yuelong.syl@alibaba-inc.com

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Source :

Accident; analysis and prevention

ISSN: 1879-2057

Year: 2021

Volume: 157

Page: 106155

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 24

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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