Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test

作     者：Kasi Nayana Badweeti Vinayak Devendra Malaghan Digvijay Sampatrao Pawar Said Easa 

作者机构：Department of Civil EngineeringIndian Institute of Technology HyderabadKandiMedak502285India Department of Civil EngineeringPandit Deendayal Energy UniversityGandhinagarGujarat382355India Department of Civil EngineeringToronto Metropolitan UniversityTorontoONM5B 2K3Canada 

出 版 物：《Journal of Intelligent and Connected Vehicles》 (智能网联汽车（英文）)

年 卷 期：2023年第6卷第2期

页      面：65-78页

核心收录：

学科分类：08[工学] 082304[工学-载运工具运用工程] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

主　　题：driving assistance system forward collision lane departure warning traffic speed recognition road safety 

摘      要：A large number of reported road collisions are caused by driver inattention,and inappropriate driving *** 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 semi-urban 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 *** addition,parametric and non-parametric statistical tests were carried out to determine ADAS s significant *** 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 *** participants showed significant lateral behavior improvement compared to female ***-aged drivers scored the highest acceptance score for the technology compared to middle and young-aged *** subjective ratings ranked the assistance features in descending order as TSRW,LDW,and *** study’s findings can support policy development and induce trust in the public for the technology adoption to improve road traffic safety.