Comparison of Proactive Braking Intervention System Acceptability via Field Operation Tests in Different Regions

Author:

Ito TakumaORCID,Matsumi Ryosuke,Saito Yuichi,Yamasaki Akito,Inoue Shintaro,Shimizu Tsukasa,Nagai Masao,Inoue Hideo,Kamata Minoru

Abstract

AbstractTo evaluate the generalities of acceptability of a proactive braking intervention system, which anticipates an imaginary pedestrian rushing out from occluded areas, and driving environmental dependencies, we conducted field operation tests (FOTs), where 146 elderly drivers participated at three evaluation sites with different urban characteristics. Analyses regarding the coexisting traffic participants illustrate driving environmental characteristics at each evaluation site. Evaluations via TMT-J, DSQ, and WSQ compare the characteristics of experimental participants. Based on these results as premises, we analyze questionnaire answers regarding the proposed system. As a result, we confirm the generalities that more than half of the participants at each evaluation site expressed a desire to introduce the proposed system into their own vehicle.

Funder

Strategic Promotion of Innovative R and D

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Reference23 articles.

1. Cabinet Office, Annual Report on the Aging Society [Summary] FY 2019. https://www8.cao.go.jp/kourei/english/annualreport/2019/pdf/2019.pdf. Accessed 17 Apr 2020

2. Cabinet Office, FY 2018 Situation of Road Traffic Accidents and Current State of Traffic Safety Measures, http://www8.cao.go.jp/koutu/taisaku/h29kou_haku/english/wp2017-pdf.html. Accessed 17 Apr 2020

3. Inoue, H., Raksincharoensak, P., Inoue, S.: Intelligent driving system for safer automobiles. Journal of Information Processing 25, 32–43 (2017)

4. Akamatsu, M.: Handbook of Automotive Human Factors, pp. 17–18. CRC Press, Boca Raton (2019)

5. Institute for Traffic Accident Research and Data Analysis, ITARDA INFORMATION, No. 119 (2016), (accessed on 17 April, 2020). (in Japanese)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3