TRUSTONOMY - Pilot 1 (ITS) Dataset
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https://zenodo.org/record/7064648
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资源简介:
The following dataset contain information collected during the project TRUSTONOMY: Building Acceptance and Trust in Autonomous Mobility (H2020, MG 3.3 Grant no. 815003, 2018-2022). It presents the results of Pilaot 1 conducted by Motor Transport Institute (ITS) in Warsaw, Poland. The experiment was conducted on a high class passenger car simulator (automation level L4) and it
examined 5 of 6 Trustonomy pillars. The following dataset was compressed in order to reflect the data type especially for:
1. HMI (SO2): verification of HMI time-based usability assessment methodology, data collection for ergonomic assessment,
2. DT (SO4): conducting research on the suitability of the newly developed driver training course for human drivers of ADS in passenger cars,
3. DIPA (SO5): data sample preparation, which will be used in tuning of DIPA model parameters and evaluation of the DIPA algorithm, DSM (SO1) and Trust & acceptance (SO6) pillars are extensively described in P3 (SCANIA) and P4 ULEEDS), therefore this dataset cannot be solely used to draw conclusions for those domains.
The dataset contains results collected only for 14 randomly chosen participants, while the research group was composed of 86 people. Therefore, the sample cannot be used to draw any conclusions.
The results are presented in .csv file named ”Trustonomy results_ P1 ITS_open access”. They should
be analysed with a particular emphasis on fields description provided in another .csv file “Trustonomy
results_ P1 ITS_open access_labels”.
本数据集收录了欧盟地平线2020(H2020)项目TRUSTONOMY(全称:构建自动驾驶出行的接受度与信任度,资助类别MG 3.3,项目编号815003,执行周期2018-2022)所采集的相关研究数据。本数据集呈现了波兰华沙机动车运输研究所(ITS)开展的先导试验1(Pilot 1)的最终成果。该试验依托L4级自动驾驶乘用车模拟器开展,覆盖了TRUSTONOMY六大研究支柱中的5项。为适配特定数据类型,本数据集进行了压缩处理,具体涉及以下研究方向:1. 人机交互(Human-Machine Interface, HMI,SO2):验证基于时间维度的人机交互可用性评估方法,采集人机工效学评估所需数据;2. 驾驶员培训(Driver Training, DT,SO4):针对搭载自动驾驶系统(Autonomous Driving System, ADS)的乘用车驾驶员,开展新型培训课程的适配性研究;3. 驾驶员意图预测算法(Driver Intent Prediction Algorithm, DIPA,SO5):制备数据样本,用于调优DIPA模型参数并评估该算法的性能。DSM(SO1)与信任及接受度(SO6)两大研究支柱的详细成果已分别在P3(斯堪尼亚SCANIA项目)与P4(ULEEDS项目)中予以阐述,因此本数据集无法单独为上述领域推导研究结论。本数据集仅收录了14名随机选取的受试者的试验结果,而本次研究的总样本量为86人,因此该子集无法支撑全局性研究结论的得出。本数据集以名为"Trustonomy results_ P1 ITS_open access"的逗号分隔值(.csv)文件形式存储,分析时需重点参考另一同名带标签的逗号分隔值文件"Trustonomy results_ P1 ITS_open access_labels"中提供的字段说明。
创建时间:
2024-07-16



