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

被引:5
作者
Badweeti K.N. [1 ]
Malaghan V.D. [1 ,2 ]
Pawar D.S. [1 ]
Easa S. [3 ]
机构
[1] Indian Institute of Technology Hyderabad, Department of Civil Engineering, Medak, Kandi
[2] Pandit Deendayal Energy University, Department of Civil Engineering, Gujarat, Gandhinagar
[3] Toronto Metropolitan University, Department of Civil Engineering, Toronto, M5B 2K3, ON
来源
Journal of Intelligent and Connected Vehicles | 2023年 / 6卷 / 02期
关键词
driving assistance system; forward collision; lane departure warning; road safety; traffic speed recognition;
D O I
10.26599/JICV.2023.9210005
中图分类号
学科分类号
摘要
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. © 2018 Tsinghua University Press.
引用
收藏
页码:65 / 78
页数:13
相关论文
共 44 条
  • [1] Adell E., Varhelyi A., Fontana M.D., The effects of a driver assistance system for safe speed and safe distance-A real-life field study, Transp Res C Emerg Technol, 19, pp. 145-155, (2011)
  • [2] Alkim T.P., Bootsma G., Hoogendoorn S.P., Field operational test "the assisted driver, IEEE Intelligent Vehicles Symposium, pp. 1198-1203, (2007)
  • [3] Atombo C., Wu C., Zhong M., Zhang H., Investigating the motivational factors influencing drivers intentions to unsafe driving behaviours: Speeding and overtaking violations, Transp Res F Traffic Psychol Behav, 43, pp. 104-121, (2016)
  • [4] Ben-Yaacov A., Maltz M., Shinar D., Effects of an in-vehicle collision avoidance warning system on short-and long-term driving performance, Hum Factors, 44, pp. 335-342, (2002)
  • [5] Birrell S.A., Fowkes M., Jennings P.A., Effect of using an in-vehicle smart driving aid on real-world driver performance, IEEE Trans Intell Transp Syst, 15, pp. 1801-1810, (2014)
  • [6] Blaschke C., Breyer F., Farber B., Freyer J., Limbacher R., Driver distraction based lane-keeping assistance, Transp Res F Traffic Psychol Behav, 12, pp. 288-299, (2009)
  • [7] Chen H., Cao L., Logan D.B., Investigation into the effect of an intersection crash warning system on driving performance in a simulator, Traffic Inj Prev, 12, pp. 529-537, (2011)
  • [8] Davis F.D., Bagozzi R.P., Warshaw P.R., User acceptance of computer technology: A comparison of two theoretical models, Manag Sci, 35, pp. 982-1003, (1989)
  • [9] Feng Z., Lei Y., Liu H., Kumfer W.J., Zhang W., Wang K., Et al., Driving anger in China: A case study on professional drivers, Transp Res F Traffic Psychol Behav, 42, pp. 255-266, (2016)
  • [10] Gaspar J., Brown T., Schwarz C., Chrysler S., Gunaratne P., Driver behavior in forward collision and lane departure scenarios, (2016)