使用现场操作测试评估先进驾驶辅助系统的有效性和可接受性

Kasi Nayana Badweeti;Vinayak Devendra Malaghan;Digvijay Sampatrao Pawar;Said Easa
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引用次数: 0

摘要

据报道,大量道路碰撞是由驾驶员注意力不集中和不当驾驶行为引起的。本研究基于现场操作测试(FOT),调查了驾驶员年龄组、性别、职业(专业/非专业)和道路类型(高速公路、城市道路和半城市道路)对高级驾驶辅助系统(ADAS)的有效性和接受度。ADAS具有辅助功能,如车道偏离警告(LDW)、前方碰撞警告(FCW)和交通速度识别警告(TSRW)。FOT总共涉及30名参与者,他们驾驶测试车辆两次(一次在隐形阶段,一次在主动阶段)。FOT包括三个路段:高速公路(20.60公里)、城市道路(7.2公里)和半城市道路(13.35公里)。使用问卷调查来确定用户对ADAS技术的接受程度。此外,还进行了参数和非参数统计检验,以确定ADAS的显著影响。FOT结果显示,在暴露于ADAS前后,LDW在性别、年龄组、职业和道路类型方面的接受度和有效性存在统计学显著差异。与女性参与者相比,男性参与者表现出显著的横向行为改善。与中青年驾驶员相比,老年驾驶员对该技术的接受度得分最高。主观评分将辅助功能按降序排列为TSRW、LDW和FCW。这项研究的结果可以支持政策制定,并在公众中引发对采用技术改善道路交通安全的信任。
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Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test
A large number of reported road collisions are caused by driver inattention, and inappropriate driving behaviour. This study investigated the effectiveness and acceptance of Advanced Driving Assistance Systems (ADAS) for driver age groups, gender, occupation (professional/non-professional), and road type (expressway, urban roads, and semiurban road) based on the Field Operational Test (FOT). The ADAS is provided with assistance features, such as Lane Departure Warning (LDW), Forward Collision Warning (FCW), and Traffic Speed Recognition Warning (TSRW). In total, the FOT involved 30 participants who drove the test vehicle twice (once in the stealth phase and once in the active phase). The FOT included three sections: expressway (20.60 km), urban road (7.2 km), and semi-urban road (13.35 km). A questionnaire was used to determine user acceptance of the ADAS technology. In addition, parametric and non-parametric statistical tests were carried out to determine ADAS's significant effects. The FOT results showed statistically significant differences in the LDW's acceptance and effectiveness for gender, age group, occupation, and road type before and after exposure to ADAS. Male participants showed significant lateral behavior improvement compared to female participants. Old-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged drivers. The subjective ratings ranked the assistance features in descending order as TSRW, LDW, and FCW. This study's findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.
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Front Cover Contents Advancements and Prospects in Multisensor Fusion for Autonomous Driving Extracting Networkwide Road Segment Location, Direction, and Turning Movement Rules From Global Positioning System Vehicle Trajectory Data for Macrosimulation Decision Making and Control of Autonomous Vehicles Under the Condition of Front Vehicle Sideslip
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