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张杨杨 等: 典型驾驶场景下接管绩效预测及特征分析                                                       5437


                 [42]   Naujoks F, Purucker C, Wiedemann K, Marberger C. Noncritical state transitions during conditionally automated driving on German
                     freeways: Effects of non-driving related tasks on takeover time and takeover quality. Human Factors, 2019, 61(4): 596–613. [doi: 10.1177/
                     0018720818824002]
                 [43]   Wu HR, Wu CZ, Lyu NC, Li JN, prevention. Does a faster takeover necessarily mean it is better? A study on the influence of urgency and
                     takeover-request lead time on takeover performance and safety. Accident Analysis & Prevention, 2022, 171: 106647. [doi: 10.1016/j.aap.
                     2022.106647]
                 [44]   ISO. ISO/TR 21959-2: 2020 Road vehicles—Human performance and state in the context of automated driving. Geneva: ISO, 2020.
                 [45]   Doubek F, Loosveld E, Happee R, De Winter J. Takeover quality: Assessing the effects of time budget and traffic density with the help of
                     a trajectory-planning method. Journal of Advanced Transportation, 2020, 2020(1): 6173150. [doi: 10.1155/2020/6173150]
                 [46]   Liu  WB,  Wang  ZD,  Liu  XH,  Zeng  NY,  Liu  YR,  Alsaadi  FE.  A  survey  of  deep  neural  network  architectures  and  their  applications.
                     Neurocomputing, 2017, 234: 11–26. [doi: 10.1016/j.neucom.2016.12.038]
                 [47]   Lundberg SM, Lee SI. A unified approach to interpreting model predictions. In: Proc. of the 31st Int’l Conf. on Neural Information
                     Processing Systems. Long Beach: Curran Associates Inc., 2017. 4768–4777.
                 [48]   Mahesh  B.  Machine  learning  algorithms —A  review.  Int’l  Journal  of  Science  and  Research,  2020,  9(1):  381–386.  [doi:  10.21275/
                     ART20203995]
                 [49]   Droździel P, Tarkowski S, Rybicka I, Wrona R. Drivers’ reaction time research in the conditions in the real traffic. Open Engineering,
                     2020, 10(1): 35–47. [doi: 10.1515/eng-2020-0004]

                 附中文参考文献:
                 [32]   国家市场监督管理总局, 国家标准化管理委员会. GB/T 41798-2022 智能网联汽车 自动驾驶功能场地试验方法及要求. 北京: 中国
                     标准出版社, 2022. 36.

                             张杨杨(2000－), 女, 硕士生, CCF  学生会员, 主             冷昶(1986－), 男, 博士, 副研究员, 主要研究领
                            要研究领域为自动驾驶仿真测试, 人机交互.                        域为实时系统, 实时交互基础理论, 安全攸关系统.




                             张浩(1993－), 男, 博士, 助理研究员, 主要研究                黄承超(1992－), 男, 博士, 副研究员, 主要研究
                            领域为人机交互, 用户行为建模.                             领域为符号与代数计算, 自动推理, 形式化方法.




                             甘涛(2000－), 男, 硕士, 主要研究领域为机器学                 张立军(1979－), 男, 博士, 研究员, 博士生导师,
                            习, 人机交互.                                     主要研究领域为概率模型检测, 协议验证, 学习
                                                                         算法, 自动驾驶系统验证.
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