Development of Autonomous Intelligent Driving System to Enhance Safe and Secured Traffic Society for Elderly Drivers – Autonomous Collision Avoidance System with Hazard Anticipation Driver Characteristics –

Author:

Matsumi Ryosuke, ,Raksincharoensak Pongsathorn,Nagai Masao

Abstract

In the aged society of Japan, accidents involving elderly drivers are increasing every year owing to their declined physical ability in terms of recognition and decision-making. An autonomous intelligent driving system is one of the promising technologies that can enhance safety and security for elderly drivers. This paper focuses on a situation in which drivers need to make a right turn at an intersection while negotiating pedestrians near a crosswalk region. An autonomous collision avoidance system associated with the electric braking torque of an electric vehicle is designed with the application of potential field theory while considering potential hazards because of occlusions at an intersection. Finally, the effectiveness of the autonomous collision avoidance systemis verified by computer simulations and driving experiments using a micro-scale electric vehicle.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference10 articles.

1. Traffic Bureau, National Police Agency, “Statistics 2007 road accidents Japan,” Int. Association of Traffic and Safety Sciences (IATSS), 2008.

2. Y. Satomi, T. Murano, M. Aga, and T. Yonekawa, “A characteristic analysis of driving behavior to rear-end collision warning using a driving simulator,” Proc. of 18th JSME Conf. on Transportation and Logistics (TRANSLOG), pp. 283-286, 2009.

3. P. Raksincharoensak, “Autonomous Driving System to Enhance Safe and Secured Traffic Society for Elderly Drivers,” 18th World Congress on ITS (Invited talk), Special Interest Session, No.30, Orlando, USA, 2011.

4. P. Raksincharoensak, M. Shino, and M. Nagai, “Enhancing Active Safety of Small-Scale Electric Vehicle “NOVEL” by Utilizing In-Wheel-Motor,” Proc. of the 20th Int. Electric Vehicle Symposium and Exposition, CD-ROM (5B-Raksincharoensak), Long Beach, USA, 2003.

5. P. Raksincharoensak, M. Shino, and M. Nagai, “Vehicle Motion Control Issues Using Micro Electric Vehicle “NOVEL”,” WEVAJournal, Vol.1, WEVA-043, 2007.

Cited by 6 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