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The impact of driving homogeneity due to automation and cooperation of vehicles on uphill freeway sections

Michail Makridis, Ludovic Leclercq, Konstantinos Mattas, Biagio Ciuffo
2020 European Transport Research Review  
Statistical results might imply the followers in the automated or mixed traffic flow generally perform worse in reproducing the driving style of the preceding vehicle.  ...  Two questions have directed much of this project: how to distinguish ACC driving behaviour from that of the human driver and how to identify the ACC energy impact.  ...  Acknowledgements This work was based on the collaboration agreement between the Joint Research Centre of the European Commission and the LICIT laboratory, Gustave Eiffel University .  ... 
doi:10.1186/s12544-020-00407-9 fatcat:se7azenb6zcubo3nruyjjhfama

Expectations and Trust in Automated Vehicles

Qiaoning Zhang, X. Jessie Yang, Lionel Peter Robert
2020 Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems  
A lack of trust is a major barrier to the adoptions of Automated Vehicles (AVs).  ...  An online survey was used to collect data including expectation, perceived performance, and trust in AVs from 443 participants which represent U.S. driver population.  ...  H2: Weather and AVs driving behavior will moderate the impact of expectation-confirmation on driver's trust in AVs.  ... 
doi:10.1145/3334480.3382986 dblp:conf/chi/ZhangYR20 fatcat:blhwj4rsrfdfrcl2hdtwg77f74

Keynote 1 Human Factors Research in Automated Driving

Terumasa Endo
2017 The Japanese Journal of Ergonomics  
Supporting Drivers to Harmonize Driving Behavior Syncronization Between the Driver and the Vehicle in High Level Automated Driving When fully automated driving is available, a driver's in-vehicle activity  ...  In a steady condition of automated driving, the driver is required to maintain some level of readiness.  ... 
doi:10.5100/jje.53.s2 fatcat:vghuqpvmkvgxjn43hu6nz4qrn4

Tactical Safety Reasoning. A Case for Autonomous Vehicles

Alexandru Constantin Serban, Erik Poll, Joost Visser
2018 2018 IEEE 87th Vehicular Technology Conference (VTC Spring)  
The SAE J3016 classification of driving automation for onroad vehicles, shown in Figure 1 , is meant to clarify the role of the human driver, if any, during vehicle operation.  ...  Their work targets the behavior of an automated vehicle in case an of an internal hazard (e.g. loss of sensors). Despite interest in safe behavior planning, the solution domain lacks maturity.  ... 
doi:10.1109/vtcspring.2018.8417887 dblp:conf/vtc/SerbanPV18 fatcat:stfg3jgv5zcktf5oyromvser6e

Vehicle Automation Field Test: Impact on Driver Behavior and Trust [article]

Walter Morales Alvarez, Nikita Smirnov, Elmar Matthes, Cristina Olaverri-Monreal
2020 arXiv   pre-print
In this study we analyze the behavior of drivers that are placed in control of an automated vehicle in a real life driving environment.  ...  In doing so, we aim to determine the impact of such a system on the driver and their driving performance.  ...  CONCLUSION, DISCUSSION AND FUTURE WORK In this paper we presented a study under real field test conditions of the impact of automated driving systems on driver behavior and trust.  ... 
arXiv:2006.02737v1 fatcat:hus2ntmhzjgapkkpdxxnfunslu

Examining the impacts of drivers' emotions on takeover readiness and performance in highly automated driving

Na Du, Jackie Ayoub, Feng Zhou, Anuj K. Pradhan, Lionel Robert, Dawn Tilbury, Elizabeth Pulver, X. Jessie Yang
2019 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
ACKNOWLEDGEMENT This research was supported in part by the University of Michigan Mcity and in part by the National Science Foundation.  ...  Examining the Impacts of Drivers' Emotions on Takeover Readiness and Performance in Highly Automated Driving.  ...  Overall, our results are critical to understanding the vital role emotions play in order to optimize takeover performance in highly automated driving.  ... 
doi:10.1177/1071181319631391 fatcat:aoac3ei26nhmpkwz7veor3m3qy

Driver Distraction: A Perennial but Preventable Public Health Threat to Adolescents

C. Raymond Bingham
2014 Journal of Adolescent Health  
Similarly, many of the strategies used to reduce alcohol-impaired driving among adolescents might be applied to driver distraction, including adults serving as role models with high standards of behavior  ...  For many of the same reasons that alcohol-impaired driving represents a distinct risk for adolescents, distracted driving has an elevated impact on this age group.  ...  Finally, brain development may also play a role in adolescents' poor decision-making regarding selfregulation of participation in distracting behavior while driving.  ... 
doi:10.1016/j.jadohealth.2014.02.015 pmid:24759438 fatcat:klikn2hcx5hw7jfsiicfzvd74u

Editorial for Special Issue: Test and Evaluation Methods for Human-Machine Interfaces of Automated Vehicles

Frederik Naujoks, Sebastian Hergeth, Andreas Keinath, Nadja Schömig, Katharina Wiedemann
2020 Information  
However, advances in automated driving systems (ADS) have already begun to change the driver's role from actively driving the vehicle to monitoring the driving situation and being ready to intervene in  ...  During the same trip, different levels of automation might be available to the driver (e.g., L2 in urban environments, L3 on highways).  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info11090403 fatcat:kw4wg7kin5fdxhus4gmk7bnohi

Development of Fixed-base AHS Simulator for Human Factors Researches

Peom Park, Doo-Won Cha
2002 The Japanese Journal of Ergonomics  
for the investigation of individual drivers behaviors those effects on the traffic flow and AHS.  ...  This study describes the specifications and configurations of the fixed-base AHS simulator not only for the human factors researches, but also for the expansion of network-base multi-user AHS simulator  ...  the imposed drivers workloads among road sections (4) To analyze the impact of automated driving to the driver's performance (5) To investigate the driving authority transfer control (6) To evaluate  ... 
doi:10.5100/jje.38.supplement_66 fatcat:kigfq5csyvez5hdgak5xwwwewa

Driver State and Mental Workload [chapter]

Dick de Waard, Nicole van Nes
2021 International Encyclopedia of Transportation  
This article was originally published in International Encyclopedia of Transportation (TRNS) published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit  ...  of the author's institution, for non-commercial research and educational use, including without limitation, use in instruction at your institution, sending it to specific colleagues who you know, and  ...  Clearly, the use of driver support systems and partly self-driving vehicles impact task demand, leading to possible overload or underload, two situations that impact driver state and task demands.  ... 
doi:10.1016/b978-0-08-102671-7.10126-5 fatcat:e4cf47tlprhcnacpzupwzy2aj4

Vehicle Automation Field Test: Impact on Driver Behavior and Trust

Walter Morales-Alvarez, Nikita Smirnov, Elmar Matthes, Cristina Olaverri-Monreal
2020 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)  
In this study we analyze the behavior of drivers that are placed in control of an automated vehicle in a real life driving environment.  ...  In doing so, we aim to determine the impact of such a system on the driver and their driving performance.  ...  CONCLUSION, DISCUSSION AND FUTURE WORK In this paper we presented a study under real field test conditions of the impact of automated driving systems on driver behavior and trust.  ... 
doi:10.1109/itsc45102.2020.9294751 fatcat:qectcjrppzgedeqdkaa4zhc2nu

Calibration of skill and judgment in driving: Development of a conceptual framework and the implications for road safety

William J. Horrey, Mary F. Lesch, Eve Mitsopoulos-Rubens, John D. Lee
2015 Accident Analysis and Prevention  
Finally, using the model we describe the implications for calibration (or, more specifically, errors in calibration) for our understanding of driver distraction, in-vehicle automation and autonomous vehicles  ...  The current paper discusses the notion of calibration in the context of self-appraisals and self-competence as well as in models of self-regulation in driving.  ...  Acknowledgements The authors are grateful to Yulan Liang, Amanda Young, Yusuke Yamani, Shannon Roberts, and Marvin Dainoff for helpful suggestions and guidance on earlier drafts of this manuscript and  ... 
doi:10.1016/j.aap.2014.12.017 pmid:25560901 fatcat:swpsesl52nhq7ovrbgh56fpoju

Preface to the Special Section on Human Factors and Automation in Vehicles

Natasha Merat, John D. Lee
2012 Human Factors  
As in other domains, driving safety increasingly depends on the combined performance of the human and automation, and successful designs will depend on recognizing and supporting the new roles of the driver  ...  Designers, policy makers, and researchers must give careful consideration to what role the person should have in highly automated vehicles and how to support the driver if the driver is to be responsible  ...  Examples include research on the impact of transitions between automation and manual driving, as conducted in the CityMobil and HAVEit projects (Flemisch et al., 2011; Schieben, Flemisch, Temme, & Köster  ... 
doi:10.1177/0018720812461374 pmid:23156614 fatcat:3mdn34l3e5fu5njxnsozzymecm

User Studies by Driving Simulators in the Era of Automated Vehicle

Yuan Shi, Monica Bordegoni, Giandomenico Caruso
2020 Computer-Aided Design and Applications  
The case study in the semi-automation condition demonstrated the capacity of the current method of capturing the user's behavior changes in the take-over task, which is the most critical scenario in conditional  ...  The strategy in the current study is to treat the different levels of automation in vehicles differently.  ...  main roles of the human driver and the automated driving system exchanges.  ... 
doi:10.14733/cadaps.2021.211-226 fatcat:4b2vkqgykjhktbvwk2dpt7iw6u

Associating Vehicles Automation With Drivers Functional State Assessment Systems: A Challenge for Road Safety in the Future

Christian Collet, Oren Musicant
2019 Frontiers in Human Neuroscience  
The DFS also originates from kinematic data of the vehicle, thus providing information that indirectly relates to drivers behavior.  ...  Unfitted DFS (e.g., drowsiness) may impact the driver ability respond to taking over abilities.  ...  The role of trust in automation and its interaction with practice of partially or fully automated vehicles is also a key-variable.  ... 
doi:10.3389/fnhum.2019.00131 pmid:31114489 pmcid:PMC6503868 fatcat:hfbfwpufpfddhopnlgvtg4vaxy
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