A study on the sizes of vehicle surrogates for AEB testing based on representative passenger vehicles in China

Wenli Li, Yousong Zhang, Stanley Y. P. Chien, Kan Wang
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Abstract

Owing to the rapid advancement of automotive active safety technology, more and more cars with Advanced Driver Assistance Systems (ADAS) features are produced in recent years. The performance testing of ADAS in various crash scenarios often requires surrogate vehicles that represent actual vehicles. Most vehicle surrogates on the market are designed based on the vehicles in the USA and European markets. China is the world's most massive automobile production and sales market, so it is worthwhile to study vehicle characteristics in China to develop vehicle surrogate requirements for the China New Car Assessment Program (C-NCAP). This paper describes a method for determining the representative dimension characteristics of passenger vehicles in China based on the last ten years of vehicle sales data.
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基于中国代表性乘用车的AEB测试车辆替代尺寸研究
由于汽车主动安全技术的快速发展,近年来越来越多的汽车配备了高级驾驶辅助系统(ADAS)。ADAS在各种碰撞场景中的性能测试通常需要代表实际车辆的代理车辆。市场上的大多数汽车替代品都是基于美国和欧洲市场的汽车而设计的。中国是世界上最大的汽车生产和销售市场,因此研究中国的汽车特性,制定中国新车评估计划(C-NCAP)的汽车替代要求是值得的。本文介绍了一种基于近十年汽车销售数据确定中国乘用车代表性尺寸特征的方法。
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来源期刊
International Journal of Vehicle Safety
International Journal of Vehicle Safety Engineering-Automotive Engineering
CiteScore
0.30
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0
期刊介绍: The IJVS aims to provide a refereed and authoritative source of information in the field of vehicle safety design, research, and development. It serves applied scientists, engineers, policy makers and safety advocates with a platform to develop, promote, and coordinate the science, technology and practice of vehicle safety. IJVS also seeks to establish channels of communication between industry and academy, industry and government in the field of vehicle safety. IJVS is published quarterly. It covers the subjects of passive and active safety in road traffic as well as traffic related public health issues, from impact biomechanics to vehicle crashworthiness, and from crash avoidance to intelligent highway systems.
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