Expert-based controllability assessment of control transitions from automated to manual driving

被引:28
|
作者
Naujoks, Frederik [1 ,2 ]
Wiedemann, Katharina [1 ]
Schoemig, Nadja [1 ]
Jarosch, Oliver [2 ]
Gold, Christian [2 ]
机构
[1] Wuerzburg Inst Traff Sci Germany, Munich, Germany
[2] BMW AG, Munich, Germany
来源
METHODSX | 2018年 / 5卷
关键词
Automated driving; Conditional automation; Take-over performance; Controllability; Expert rating;
D O I
10.1016/j.mex.2018.05.007
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Up to a level of full vehicle automation, drivers will have to be available as a fallback level and take back manual control of the vehicle in case of system limits or failures. Before introducing automated vehicles to the consumer market, the controllability of these control transitions has to be demonstrated. This paper presents a novel procedure for an expert-based controllability assessment of control transitions from automated to manual driving. A standardized rating scheme is developed that allows trained raters to integrate different aspects of driving performance during control transitions (e.g., quality of lateral and longitudinal control, adequateness of signalling to other road users, etc.) into one global controllability measure based on video material of the driving situation. The method is adapted from an existing assessment procedure that has been successfully applied to assess the criticality of driving situations in manual driving conditions (e.g., assessment of substance-induced impairments, assessment of fitness-to-drive of novice drivers). This paper presents the rating procedure, including instructions of how to code relevant qualities of the drivers' performance with accompanying video-demonstrations, and material used for rater training. A rating procedure for an expert-based controllability assessment of control transitions from automated to manual driving based on observation of video material was adapted from an existing method used in studies on manual driving. The advantage of this method consists in an integration of different dimensions of driving performance (e.g., operational and tactical driving behaviour, criticality of the situation) into one global controllability measure. The method allows an assessment and comparison of diverse take-over scenarios, detached from driver performance variables. The accompanying video-based training material allows reproducible and reliable execution of the rating procedure. (C) 2018 The Authors. Published by Elsevier B.V.
引用
收藏
页码:579 / 592
页数:14
相关论文
共 50 条
  • [1] Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation
    Nilsson, Josef
    Falcone, Paolo
    Vinter, Jonny
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (04) : 1806 - 1816
  • [2] Transitions from Autopilot to Manual Control in Highly Automated Driving: Cognitive Simulations
    Kim, Woojin
    Kim, Hyun-Suk
    Lee, Seung-Jun
    Kim, Jungsook
    Yoon, Daesub
    [J]. 2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [3] Transitions to manual control from highly automated driving in non-critical truck platooning scenarios
    Zhang, Bo
    Wilschut, Ellen S.
    Willemsen, Dehlia M. C.
    Martens, Marieke H.
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2019, 64 : 84 - 97
  • [4] Control Transfer Method from Automated Driving to Manual Driving During Curve Travel
    Okada, Kio
    Sonoda, Kohei
    Wada, Takahiro
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 3136 - 3141
  • [5] Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment
    Milakis, Dimitris
    Kroesen, Maarten
    van Wee, Bert
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2018, 68 : 142 - 148
  • [6] Expert-based Assessment of an Augmentative and Alternative Communication Tool
    Guasch, Daniel
    Martin-Escalona, Israel
    Macias, Jose A.
    Moreno, Lourdes
    Hervas, Raquel
    Bautista, Susana
    [J]. PROCEEDINGS OF THE XX INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION (INTERACCION'2019), 2019,
  • [7] From expert-based to quantitative retrospective exposure assessment at a Soderberg aluminum smelter
    Friesen, M. C.
    Demers, P. A.
    Spinelli, J. J.
    Le, N. D.
    [J]. ANNALS OF OCCUPATIONAL HYGIENE, 2006, 50 (04): : 359 - 370
  • [8] Timing of Unstructured Transitions of Control in Automated Driving
    Mok, Brian Ka-Jun
    Johns, Mishel
    Lee, Key Jung
    Ive, Hillary Page
    Miller, David
    Ju, Wendy
    [J]. 2015 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2015, : 1167 - 1172
  • [9] Behavioural modelling of automated to manual control transition in conditionally automated driving
    Ansar, Muhammad Sajjad
    Alsaleh, Nael
    Farooq, Bilal
    [J]. TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2023, 94 : 422 - 435
  • [10] Expert-based Risk Level Assessment Model for Microtunneling Projects
    Elwakil, Emad
    Hegab, Mohamed
    [J]. 2020 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY (SUSTECH), 2020,