CATALOGUE OF NON-DRIVING RELATED TASKS IN LEVELS 3 AND 4 AUTONOMOUS VEHICLES
DOI:
https://doi.org/10.46585/pc.2023.1.2450Keywords:
autonomous vehicle, takeover performance, focus group, systematization of non-driving related tasks, traffic safety, professional driverAbstract
The article describes the theoretical background, methods, and resulting structure of the catalogue of non-driving related tasks during driving in autonomous vehicles L3 and L4. In the conducted research, two basic methods were used, namely the analysis of legal regulations and standards, and then focus groups with professional drivers, dispatchers, logistics managers, HMI experts, road safety and other stakeholders. Based on them, the catalogue of non-driving related tasks was created. It consists of three basic parts, the first two focusing on the L4 and the last one on the L3. All parts contain 4 hierarchical levels. At the highest hierarchical level, a total of eleven categories of non-driving related tasks are included: break, other work (drivers), periods of availability, work (in transportation), work (out of transportation), work (general), relaxation, entertainment, education, physiological needs, and body care. The catalogue will be published as a public specialized database (web domain). It will be used by management of transport companies, Ministry of transport, subjects in the area of education, producers and sellers of autonomous vehicles and drivers.
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Česká republika. 2004. Zákon č. 435/2004 Sb., o zaměstnanosti, ve znění pozdějších předpisů. Sbírka zákonů České republiky. Dostupné z: https://www.zakonyprolidi.cz/cs/2004-435 [cit.: 11. 04. 2023].
Česká republika. 2006. Zákon č. 262/2006 Sb., zákoník práce, ve znění pozdějších předpisů. Sbírka zákonů České republiky. Dostupné z: https://www.zakonyprolidi.cz/cs/2006-262 [cit.: 11. 04. 2023].
Česká republika. 2006. Nařízení vlády č. 589/2006 Sb., kterým se stanoví odchylná úprava pracovní doby a doby odpočinku zaměstnanců v dopravě, ve znění pozdějších předpisů. Sbírka zákonů České republiky. Dostupné z: https://www.zakonyprolidi.cz/cs/2006-589 [cit.: 11. 04. 2023].
Český statistický úřad. © 2022 Klasifikace zaměstnání (CZ-ISCO). Systematická část. [Online] Dostupné z: https://www.czso.cz/csu/czso/klasifikace_zamestnani_-cz_isco- [cit.: 13. 04. 2023].
El-Dabaja, S. 2022. When Drivers Aren't Driving: Non-Driving Related Task (Ndrt) Involvement During Highly-Automated Driving. http://dx.doi.org/10.2139/ssrn.4186591
Evropský parlament. 2002. Směrnice Evropského parlamentu a Rady 2002/15/ES o úpravě pracovní doby osob vykonávajících mobilní činnosti v silniční dopravě, v nejnovějším konsolidovaném znění.
Evropský parlament. 2006. Nařízení Evropského parlamentu a Rady (ES) č. 561/2006 o harmonizaci některých předpisů v sociální oblasti týkajících se silniční dopravy, o změně nařízení Rady (EHS) č. 3821/85 a (ES) č. 2135/98 a o zrušení nařízení Rady (EHS) č. 3820/85 v nejnovějším konsolidovaném znění. [cit.: 11. 04. 2023].
Hettich, G., Beck, K., Flämig, H., Wolter, M., Schnücker, G., Damer, L. 2022. Fahrfremde Tätigkeiten in schweren Güterkraftfahrzeugen – Was tun Berufskraftfahrende beim Automatisierten Fahren? Eine explorative Stakeholderbefragung zur Ausübung fahrfremder Tätigkeiten. Internationales Verkehrswesen, 74(3), s. 41-46. Dostupné z: https://tore.tuhh.de/handle/11420/13568 [cit.: 19. 04. 2023].
Choi, D., Sato, T., Ando, T., Abe, T., Akamatsu, M., Kitazaki, S. 2020. Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving. Applied Ergonomics, 85, 103074. <https://doi.org/ 10.1016/j.apergo.2020.103074>
International Labour Organization. 2008. ISCO – International Standard Classification of Occupations. ISCO-08. <https://www.ilo.org/public/english/bureau/stat/isco/isco08/>
Jamson, A. H., Merat, N., Carsten, O. M., Lai, F. 2013. Behavioural changes in drivers experiencing high automated vehicle control in varying traffic conditions. Transport Research Part C, 30, s. 116–125. <https://doi.org/10.1016/j.trc.2013.02.008>
Jeong, H., Liu, Y. 2019. Effects of non-driving-related-task modality and road geometry on eye movements, lane-keeping performance, and workload while driving. Transport Research Part F: Traffic Psychology Behavior, 60, s. 157–171. <https://doi.org/ 10.1016/j.trf.2018.10.015>
Krejčí, L., Doleželová, Š. 2021. Systematizace ne-řidičských činností řidičů autonomním nákladních vozidel. Perner´s Contacts, 16(1), 1-17. <https://doi.org/10.46585/pc.2021.1.1662>
Lee, S. Ch, Yoon, S. H & Ji, Y. G. 2020. Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles. International Journal of Human-Computer Interaction, 37. <https://doi.org/ 10.1080/10447318.2020.1815361>
Lu, G., Zhai, J., Li, P., Chen, F., Liang, L. 2021. Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task. Transportation research part F: Traffic Psychology and Behaviour, 82, s. 96-110. <https://doi.org/10.1016/j.trf.2021.08.005>
Ministerstvo práce a sociálních věcí. © 2017. NSP – Národní soustava povolání. [Online]. Dostupné z: https://nsp.cz [cit.: 13. 04. 2023].
Müller, A. L. 2020. Auswirkungen von naturalistischen fahrfremden Tätigkeiten während hochautomatisierter Fahrt. Dissertation. Technische Universität, Darmstadt. <https://doi.org/10.25534/tuprints-00011342>
Müller, A. L., Fernandes-Estrela, N., Hetfleisch, R., Zecha, L., Abendroth, B. 2021. Effects of non-driving related tasks on mental workload and take-over times during conditional automated driving. European Transport Research Review, 13(1), s. 1-15. <https://doi.org/10.1186/s12544-021-00475-5>
Naujoks, F., Neukum, A., Befelein, D. 2016. Welche Aspekten fahrfremder Tätigkeiten schränken die Übernahmefähigkeit beim hochautomatisieten Fahren. Conference: VDI/VW Gemeinschaftstagung "Fahrerassistenz und automatisiertes Fahren", Wolfsburg, volume 32.
Naujoks, F., Wiedemann, K., Schömig, N., Jarosch, O., Gold, C. 2018. Expert-based controllability assessment of control transitions from automated to manual driving. MethodsX, 5, 579–592. <https://doi.org/10.1016/j.mex.2018.05.007>
SAE International. 2021. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles. J3016. <https://www.sae.org/standards/content/j3016_202104>
Shanini, F., & Zahabi, M. 2022. Effects of levels of automation and non-driving related tasks on driver performance and workload: A review of literature and meta-analysis. Applied Ergnomics, 104, 103824. <https://doi.org/10.1016/j.apergo.2022.103824>
Shi, E., Bengler, K. 2022. Overall effects of non-driving related activities’ characteristics on takeover performance in the context of SAE Level 3: A meta-analysis. In K. Plant & G. Praetorius (Eds.), Human Factors in Transportation. AHFE International Conference. <https://doi.org/10.54941/ahfe1002435>
Spiessl, W. 2011. Assessment and Support of Error Recognition in Automated Driving. Dissertation. Fakultat für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität, München.
Technologická agentura ČR. 2022–2024. Systematizace neřidičských aktivit při řízení v autonomním módu. TAČR, probíhající projekt CK03000063. Dostupné z: https://starfos.tacr.cz/cs/project/CK03000063 [cit.: 18. 04. 2023].
Vogelpohl, T., Kühn M., Hummel, T., Vollrath, M. 2018. Asleep at the automated wheel. Sleepiness and fatigue during highly automated driving. Accid. Anal. Prev., 126, s. 70-84. <https://doi.org/10.1016/j.aap.2018.03.013>
Wan, J., Wu, C. 2018. The effects of lead time of take-over request and nondriving tasks on taking-over control of automated vehicles. IEEE Transactions on Human-Machine Systems, 48(6), 582–591. <https://doi.org/ 10.1109/THMS.2018.2844251>
Wandtner, B., Schömig, N., Schmidt, G. 2018. Effects of non-driving related task modalities on takeover performance in highly automated driving. Hum. Factors 60(6), s. 870–881. https://doi.org/10.1177/0018720818768199
Wu, C., Wu, H., Lyu, N., Zheng, M. 2019. Take-over performance and safety analysis under different scenarios and secondary tasks in conditionally automated driving. IEEE Access, 7, s. 136924–136933. https://doi.org/ 10.1109/ACCESS.2019.2914864
Yoon, S.H., Ji, Y. G. 2019. Non-driving-related tasks, workload, and takeover performance in highly automated driving contexts. Transport. Res. F Traffic Psychol. Behav., 60, s. 620–631. <https://doi.org/10.1016/j.trf.2018.11.015>
Yoon, S. H., & Lee, S. C. 2023. A Systematic Literature Review on the Effects of Non-Driving Tasks on the Takeover Process in Highly Automated Driving. Ergonomics Society of Korea, 42(1), s. 1-14. <https://doi.org/10.5143/JESK.2023.42.1.1>
Zeeb, K., Haertel, M., Buchner, A., Schrauf, M. 2017. Why is steering not the same as braking? The impact of non-driving related tasks on lateral and longitudinal driver interventions during conditionally automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 50, s. 65–79. <https://doi.org/10.1016/j.trf.2017.07.008>
Zhang, B., De Winter, J., Varotto, S., Happee, R., Martens, M. 2019. Determinants of take-over time from automated driving: A meta-analysis of 129 studies. Transportation Research Part F: Traffic Psychology and Behaviour, 64, s. 285–307. <https://doi.org/10.1016/j.trf.2019.04.020>
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Copyright (c) 2023 Miroslava Horáková, Libor Krejčí, Martina Trepáčová, Martina Šintálová
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2023-06-24
Published 2023-06-30