Clothing color of surrogate Bicyclist for Pre-Collision System evaluation

Bicyclist Pre-Collision Systems (BPCS) for helping avoid and/or mitigate bicyclist crashes have been equipped on some production vehicles. To support the standardized performance evaluation of BPCS, a surrogate bicyclist has been developed by the Transportation Active Safety Institute (TASI) at Indiana University-Purdue University Indianapolis (IUPUI). The surrogate bicyclist was designed to have representative visual and radar characteristics of real bicyclists in the United States. One question to be answered in surrogate bicyclist development is what the representative clothing color should be. This paper presents an approach to determine the clothing color of surrogate bicyclist for the standard evaluation of BPCS. The clothing color of bicyclists was gathered from the TASI-110 car naturalistic driving data collected in the Greater Indianapolis area. A clustering algorithm was used to determine the representative clothing colors of bicyclists.

一些量产车辆已配备了有助于避免和/或减轻与自行车骑行者碰撞的自行车骑行者碰撞前系统（BPCS）。为了支持对BPCS进行标准化性能评估，印第安纳大学 - 普渡大学印第安纳波利斯分校（IUPUI）的交通主动安全研究所（TASI）开发了一种模拟自行车骑行者。该模拟自行车骑行者被设计为具有美国真实自行车骑行者的代表性视觉和雷达特征。在模拟自行车骑行者的开发过程中需要回答的一个问题是，代表性的服装颜色应该是什么。本文提出了一种为BPCS的标准评估确定模拟自行车骑行者服装颜色的方法。自行车骑行者的服装颜色是从在大印第安纳波利斯地区收集的TASI - 110汽车自然驾驶数据中收集的。使用了一种聚类算法来确定自行车骑行者的代表性服装颜色。