Relevant bibliographies by topics / Highly automated driving

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Highly automated driving'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Highly automated driving"

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Kremer, Markus, Sébastien Christiaens, and Stefan Kriebel. "Connected Driving Functions for Highly Automated Driving." ATZ worldwide 127, no. 1 (2024): 16–21. https://doi.org/10.1007/s38311-024-2007-3.

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Bartels, Arne, Thanh-Binh To, Simon Karrenberg, and Andreas Weiser. "Highly Automated Driving on Motorways." ATZ worldwide eMagazine 113, no. 9 (2011): 28–33. http://dx.doi.org/10.1365/s38311-011-0086-4.

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Mazzega, Jens, Frank Köster, Karsten Lemmer, and Thomas Form. "Testing of Highly Automated Driving Functions." ATZ worldwide 118, no. 10 (2016): 44–48. http://dx.doi.org/10.1007/s38311-016-0101-x.

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Navarro, Jordan, and Catherine Gabaude. "Human factors perspectives on highly automated driving." Le travail humain 83, no. 4 (2020): 285. http://dx.doi.org/10.3917/th.834.0285.

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Kulmala, Risto. "Road infrastructure support for highly automated driving." Liikenne-vuosikirja 7 (January 25, 2025): 125–42. https://doi.org/10.58956/liikenne.148051.

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Kämpchen, Nico, Michael Aeberhard, Michael Ardelt, and Sebastian Rauch. "Technologies for highly automated driving on highways." ATZ worldwide 114, no. 6 (2012): 34–38. http://dx.doi.org/10.1007/s38311-012-0176-y.

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Junietz, Philipp, Udo Steininger, and Hermann Winner. "Macroscopic Safety Requirements for Highly Automated Driving." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 3 (2019): 1–10. http://dx.doi.org/10.1177/0361198119827910.

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The common expectation for highly automated vehicles (HAVs) is that an introduction will lead to increased road safety and a reduction in traffic fatalities—at least in relation to the mileage. However, quantizing the safety requirements is still in discussion. This paper analyzes the risk acceptance in other fields and applies the safety level on today’s traffic to derive references for acceptable risks. The focus is on macroscopic safety requirements, meaning accident rates per mileage, and not the behavior in individual driving situations. It was concluded that the acceptable risk varies ac
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Henriques, Bernardo, Thomas Mauthner, Gernot Hasenbichler, and Indula Amarasinghe. "Garbage Collection Vehicles with Highly Automated Driving Features." ATZheavy duty worldwide 14, no. 2 (2021): 10–15. http://dx.doi.org/10.1007/s41321-021-0419-1.

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Kerschbaum, Philipp, Lutz Lorenz, and Klaus Bengler. "Highly automated driving with a decoupled steering wheel." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58, no. 1 (2014): 1686–90. http://dx.doi.org/10.1177/1541931214581352.

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Navarro, Jordan. "A state of science on highly automated driving." Theoretical Issues in Ergonomics Science 20, no. 3 (2018): 366–96. http://dx.doi.org/10.1080/1463922x.2018.1439544.

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Dissertations / Theses on the topic "Highly automated driving"

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Behere, Sagar. "Reference Architectures for Highly Automated Driving." Doctoral thesis, KTH, Inbyggda styrsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179306.

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Highly automated driving systems promise increased road traffic safety, as well as positive impacts on sustainable transportation by means of increased traffic efficiency and environmental friendliness. The design and development of such systems require scientific advances in a number of areas. One area is the vehicle's electrical/electronic (E/E) architecture. The E/E architecture can be presented using a number of views, of which an important one is the functional view. The functional view describes the decomposition of the system into its main logical components, along with the hierarchical
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Eriksson, Hans Olof Alexander. "Control transitions in highly automated driving." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416080/.

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The focus of this thesis is to assess how drivers interact with automated driving systems, more specifically: how control transitions from automated driving to manual driving and vice versa are executed and can be improved upon. In doing so, it identifies the key elements in research into control transitions in automated driving and addresses them. Whilst automated driving shows great promise in reducing road accident rates and congestion it is no panacea in driving safety at its current level (SAE Level 2 and Level 3). Until full autonomy (SAE Level 4) can be realised drivers will still have
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Louw, Tyron Linton. "The human factors of transitions in highly automated driving." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/17148/.

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The aim of this research was to investigate the nature of the out-of-the-loop (OoTL) phenomenon in highly automated driving (HAD), and its effect on driver behaviour before, during, and after the transition from automated to manual control. The work addressed questions relating to how automation affects drivers' (i) performance in transition situations requiring control- and tactical-level responses, (ii) their behaviour in automation compared to in manual driving, (iii-iv) their visual attention distribution before and during the transition, as well as (v) their perceptual-motor performance a
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Vanholme, Benoit. "Highly automated driving on highways based on legal safety." Thesis, Evry-Val d'Essonne, 2012. http://www.theses.fr/2012EVRY0018/document.

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A travers des systèmes d’assistance à la conduite, l’automatisation de la conduite est introduite graduellement, avec le but de créer un transport plus sûr, confortable et moins polluant. Cette thèse discute le développement d’un système d’assistance à la conduite qui permet une conduite automatisée sur autoroute. La thèse présente le concept « Legal Safety », qui base le développement d’un système d’assistance à la conduite sur le code de la route international. Ceci permet de partager la route avec des conducteurs humains, sans nécessairement changer l’équipement sur l’infrastructure ou sur
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Krampell, Martin. "Accelerated Behavioural Adaptation through Targeted Training Programs : the Case of Highly Automated Driving." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129626.

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A prominent issue in the field of automotive research is the apparent lack of consideration given to the potentially safety-critical differences between novice and experienced users of Advanced Driver Assistance System (ADAS). Conducting experiments with novices only often results in the generation of unrepresentative findings, as these new systems often come with a lengthy adaptation period following their introduction. Running experiments with experienced drivers, however, is difficult, as these are often few and far between, if they even exist. To alleviate this discrepancy, and to help res
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Hiller, Tobias [Verfasser], and Hubert [Gutachter] Roth. "Highly precise MEMS gyroscopes for fully automated driving / Tobias Hiller ; Gutachter: Hubert Roth." Siegen : Universitätsbibliothek der Universität Siegen, 2021. http://d-nb.info/1232495522/34.

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Banks, Victoria A. "Human factors considerations in the design and development of highly automated driving systems." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/397266/.

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Increasing levels of automation within the driving task has seen the driver’s role change from an active operator to one of a passive monitor. However, systems design has been plagued by criticism for failing to acknowledge the new role of the driver within the system network. To further our understanding of the driver’s role within an automated driving system, the theory of Distributed Cognition was adopted. Distributed Cognition provides a useful framework for the investigation of task partitioning between multiple system agents. A novel Systems Design Framework has been developed as part of
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Stephan, Amelie [Verfasser], Dietrich [Akademischer Betreuer] Manzey, Dietrich [Gutachter] Manzey, and Mark [Gutachter] Vollrath. "Trust in highly automated driving / Amelie Stephan ; Gutachter: Dietrich Manzey, Mark Vollrath ; Betreuer: Dietrich Manzey." Berlin : Technische Universität Berlin, 2019. http://d-nb.info/1184983569/34.

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Herold, Maximilian [Verfasser], Hermann [Akademischer Betreuer] Winner, and Steffen [Akademischer Betreuer] Müller. "Redundant Steering System for Highly Automated Driving of Trucks / Maximilian Herold ; Hermann Winner, Steffen Müller." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2019. http://d-nb.info/1201820537/34.

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Basantis, Alexis Rae. "Assessing Alternate Approaches for Conveying Automated Vehicle Intentions." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/95219.

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Objectives: Research suggests the general public has a lack of faith in highly automated vehicles (HAV) stems from a lack of system transparency while in motion (e.g., the user not being informed on roadway perception or anticipated responses of the car in certain situations). This problem is particularly prevalent in public transit or ridesharing applications, where HAVs are expected to debut, and when the user has minimal training on, and control over, the vehicle. To improve user trust and their perception of comfort and safety, this study aimed to develop more detailed and tailored human-m
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Books on the topic "Highly automated driving"

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Nwagboso, Christopher O. Advanced vehicles and infrastructure systems: Computer applications, control, and automation. Wiley, 1997.

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Intelligent, Vehicles Symposium (1995 Detroit Mich ). Proceedings of the Intelligent Vehicles '95 Symposium, September 25-26, 1995, Detroit, USA. IEEE Service Center, 1995.

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IEEE Intelligent Vehicles Symposium (2002 Versailles, France). IV'2002: IEEE Intelligent Vehicle Symposium = IEEE Symposium sur les Véhicules Intelligents : proceedings : June 17-21, 2002, Versailles, France. IEEE, 2003.

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Intelligent Vehicles '94 Symposium (1994 Paris, France). Proceedings of the Intelligent Vehicles '94 Symposium: October 24-26, 1994, Paris, France. IEEE Service Center, 1994.

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Engineers, Society of Automotive, and Future Transportation Technology Conference and Exposition (1995 : Costa Mesa, Calif.), eds. Systems and issues in ITS. Society of Automotive Engineers, 1995.

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Engineers, Society of Automotive, and SAE International Congress & Exposition (1995 : Detroit, Mich.), eds. IVHS and advanced transportation systems. Society of Automotive Engineers, 1995.

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Pathrose, Plato. ADAS and Automated Driving: A Practical Approach to Verification and Validation. SAE International, 2022. http://dx.doi.org/10.4271/9781468604146.

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The day will soon come when you will be able to verbally communicate with a vehicle and instruct it to drive to a location. The car will navigate through street traffic and take you to your destination without additional instruction or effort on your part. Today, this scenario is still in the future, but the automotive industry is racing to toward the finish line to have automated driving vehicles deployed on our roads. ADAS and Automated Driving: A Practical Approach to Verification and Validation focuses on how automated driving systems (ADS) can be developed from concept to a product on the
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Young, Richard. Critical Analysis of Prototype Autonomous Vehicle Crash Rates: Six Scientific Studies from 2015–2018. SAE International, 2021. http://dx.doi.org/10.4271/9781468603422.

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Will Automated Vehicles be Safer than Conventional Vehicles? One of the critically important questions that has emerged about advanced technologies in transportation is how to test the actual effects of these advanced systems on safety, particularly how to evaluate the safety of highly automated driving systems. Richard Young's Critical Analysis of Prototype Autonomous Vehicle Crash Rates does a deep dive into these questions by reviewing and then critically analyzing the first six scientific studies of AV crash rates.
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Fallgren, M. Cellular V2X for Connected Automated Driving. Wiley & Sons, Limited, John, 2020.

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Reeves, Jodie. Human Factors in Automated Driving Scenarios: Assessment of Research, Technology, and Concepts. Nova Science Publishers, Incorporated, 2014.

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Book chapters on the topic "Highly automated driving"

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Kompass, Klaus, Markus Schratter, and Thomas Schaller. "Active Safety Towards Highly Automated Driving." In Automated Driving. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31895-0_15.

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Paulweber, Michael. "Validation of Highly Automated Safe and Secure Systems." In Automated Driving. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31895-0_18.

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Wotawa, Franz. "Testing Autonomous and Highly Configurable Systems: Challenges and Feasible Solutions." In Automated Driving. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31895-0_22.

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Kirschbaum, Markus. "Highly automated driving for commercial vehicles." In 6th International Munich Chassis Symposium 2015. Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-09711-0_2.

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Baldwin, Carryl L., and Ian McCandliss. "Attention Management in Highly Autonomous Driving." In Human Performance in Automated and Autonomous Systems. CRC Press, 2019. http://dx.doi.org/10.1201/9780429458330-12.

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Redzic, Ogi, and Dietmar Rabel. "A Location Cloud for Highly Automated Driving." In Road Vehicle Automation 2. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19078-5_5.

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Galbas, Roland. "Highly Automated Driving—Disruptive Elements and Consequences." In Advanced Microsystems for Automotive Applications 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44766-7_12.

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Kuhn, Andreas, José Carmona, and Elvira Thonhofer. "Research Design and Evaluation Strategies for Automated Driving." In Energy-Efficient and Semi-automated Truck Platooning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_4.

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AbstractAutomated driving, in general, and platooning, in particular, represent a highly active field of research. The idea to automate traffic is closely related to high expectations in both individual and public transport. However, the complexity of automated driving requires methods beyond the traditional development approaches. This chapter describes a state-of-the-art methodology to organise and systematically address a comprehensive set of research questions in the context of truck platooning. Following best practices, an evaluation design is presented, which ensures the alignment of res
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Kuhn, Andreas, José Carmona, and Elvira Thonhofer. "Research Design and Evaluation Strategies for Automated Driving." In Energy-Efficient and Semi-automated Truck Platooning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88682-0_4.

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AbstractAutomated driving, in general, and platooning, in particular, represent a highly active field of research. The idea to automate traffic is closely related to high expectations in both individual and public transport. However, the complexity of automated driving requires methods beyond the traditional development approaches. This chapter describes a state-of-the-art methodology to organise and systematically address a comprehensive set of research questions in the context of truck platooning. Following best practices, an evaluation design is presented, which ensures the alignment of res
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Feth, Patrik, Rasmus Adler, Takeshi Fukuda, et al. "Multi-aspect Safety Engineering for Highly Automated Driving." In Developments in Language Theory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99130-6_5.

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Conference papers on the topic "Highly automated driving"

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Buznikov, S. E., A. M. Saykin, and A. A. Serov. "Optimization of Driving Control Tasks Distribution Between Highly Automated Vehicles and Intelligent Transport Systems." In 2024 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2024. http://dx.doi.org/10.1109/synchroinfo61835.2024.10617766.

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Richardson, Natalie Tara, Michael Sinning, Michael Fries, Sonja Stockert, and Markus Lienkamp. "Highly automated truck driving." In AutomotiveUI '15: The 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM, 2015. http://dx.doi.org/10.1145/2809730.2809733.

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Merat, Natasha, and A. Hamish Jamson. "How Do Drivers Behave in a Highly Automated Car?" In Driving Assessment Conference. University of Iowa, 2009. http://dx.doi.org/10.17077/drivingassessment.1365.

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Dickmann, Juergen, Nils Appenrodt, Hans-Ludwig Bloecher, et al. "Radar contribution to highly automated driving." In 2014 European Radar Conference (EuRAD). IEEE, 2014. http://dx.doi.org/10.1109/eurad.2014.6991295.

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Dickmann, Juergen, Nils Appenrodt, Hans-Ludwig Bloecher, et al. "Radar contribution to highly automated driving." In 2014 44th European Microwave Conference (EuMC). IEEE, 2014. http://dx.doi.org/10.1109/eumc.2014.6986787.

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Chen, Chao, Andre Gaschler, Markus Rickert, and Alois Knoll. "Task planning for highly automated driving." In 2015 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2015. http://dx.doi.org/10.1109/ivs.2015.7225805.

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Dogan, Ebru, Elsa Yousfi, Thierry Bellet, Charles Tijus, and Anne Guillaume. "Manual takeover after highly automated driving." In ECCE 2021: European Conference on Cognitive Ergonomics 2021. ACM, 2021. http://dx.doi.org/10.1145/3452853.3452880.

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Tobias, Schmid. "Safety Analysis for Highly Automated Driving." In 2018 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2018. http://dx.doi.org/10.1109/issrew.2018.000-7.

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Liu, Tianbo, Nan Xu, Xiyang Liu, and Chong Xu. "Self-driving and Highly Automated Control System for Driving Simulator." In 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/mcei-16.2016.42.

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Louw, Tyron, Natasha Merat, and Hamish Jamson. "Engaging with Highly Automated Driving: To be or Not to be in the Loop?" In Driving Assessment Conference. University of Iowa, 2015. http://dx.doi.org/10.17077/drivingassessment.1570.

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Reports on the topic "Highly automated driving"

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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ e
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Coyner, Kelley, and Jason Bittner. Automated Vehicles and Infrastructure Enablers: Connectivity. SAE International, 2023. http://dx.doi.org/10.4271/epr2023013.

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<div class="section abstract"><div class="htmlview paragraph">Do connected vehicle (CV) technologies encourage or dampen progress toward widespread deployment of automated vehicles? Would digital infrastructure components be a better investment for safety, mobility, and the environment? Can CVs, coupled with smart infrastructure, provide an effective pathway to further automation? Highly automated vehicles are being developed (albeit slower than predicted) alongside varied, disruptive connected vehicle technology. </div><div class="htmlview paragraph"><b>Automated
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Gajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2034.

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Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehicle autonomy. This research focuses on synthesizing literature and identifying risk factors influencing fatal crashes involving level 1 and level 2 CAVs in the United States. Fatal crashes involving level 0 vehicles—ones that are not connected and automated—were compared to minimize unobserved heterogeneity and randomness associated with
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Lambermont, Serge, and Niels De Boer. Unsettled Issues Concerning Automated Driving Services in the Smart City Infrastructure. SAE International, 2021. http://dx.doi.org/10.4271/epr2021030.

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Information and communication technology is fundamentally changing the way we live and operate in cities, such as instant access to events, transportation, bookings, payments, and other services. At the same time, three “megatrends” in the automotive industry—self-driving, electrification, and advanced manufacturing technology—are enabling the design of innovative, application-specific vehicles that capitalize on city connectivity. Applications could countless; however, they also need to be safe and securely integrated into a city’s physical and digital infrastructure, and into the overall urb
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Martinez, Kimberly D., and Gaojian Huang. Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2164.

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There is an existing issue in human-machine interaction, such that drivers of semi-autonomous vehicles are still required to take over control of the vehicle during system limitations. A possible solution may lie in tactile displays, which can present status, direction, and position information while avoiding sensory (e.g., visual and auditory) channels overload to reliably help drivers make timely decisions and execute actions to successfully take over. However, limited work has investigated the effects of meaningful tactile signals on takeover performance. This study synthesizes literature i
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Perren, Will, Nick Reed, Ben Simpson, and Kostas Kourantidis. PPR2020 - Automated Vehicle Safety Assurance - In-use Safety and Security Monitoring - Task 5: Outcome Reporting. TRL, 2022. http://dx.doi.org/10.58446/qlpq9096.

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This report discusses the potential uses of in-use vehicle data to generate aggregated data to calculate Safety Performance Indicators (SPIs) and track safety performance of Automated Vehicles (AVs) throughout their deployment lifetime. The two primary benefits of collecting this data are to provide a feedback loop to AV Manufacturers and Operators to improve their safety performance as well as compare the safety of AVs more broadly against conventional driving and other transport modes. This work identifies a set of SPIs that can be recorded using in-vehicle data and other available data sets
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Fariborzi, Hadi, and Piers Steel. Beyond ChatGPT: Agentic AI as 24/7 Research Assistants. Instats Inc., 2025. https://doi.org/10.61700/gzihjl4e74w841498.

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This advanced one-day workshop, presented by professors Piers Steel and Hadi Fariborzi, delves into the transformative power of agentic AI in academic research, equipping participants to automate data collection, analysis, and real-time dashboard updates. Through hands-on sessions, attendees will explore both qualitative and quantitative AI-driven methods, freeing them to focus on higher-level insights.
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Muelaner, Jody, ed. Unsettled Issues in Commercial Vehicle Platooning. SAE International, 2021. http://dx.doi.org/10.4271/epr2021027.

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Platooning has the potential to reduce the energy consumption of commercial vehicles while improving safety; however, both advantages are currently difficult to quantify due to insufficient data and the wide range of variables affecting models. Platooning will significantly reduce the use of energy when compared to trucks driven alone, or at a safe distance for a driver without any automated assistance. Platooning will also reduce stopping distances—multiple states in the US have passed laws authorizing truck platoons to operate at shorter gaps than are authorized for normal, human-driven truc
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Porcel Magnusson, Cristina. Unsettled Topics Concerning Coating Detection by LiDAR in Autonomous Vehicles. SAE International, 2021. http://dx.doi.org/10.4271/epr2021002.

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Autonomous vehicles (AVs) utilize multiple devices, like high-resolution cameras and radar sensors, to interpret the driving environment and achieve full autonomy. One of these instruments—the light detection and ranging (LiDAR) sensor—utilizes pulsed infrared (IR) light, typically at wavelengths of 905 nm or 1,550 nm, to calculate object distance and position. Exterior automotive paint covers an area larger than any other exterior material. Therefore, understanding how LiDAR wavelengths interact with vehicle coatings is extremely important for the safety of future automated driving technologi
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Chalmers, Seth. The Challenges of Next-gen ADAS and ADS and Related Vehicle Safety Topics. SAE International, 2025. https://doi.org/10.4271/epr2025003.

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<div class="section abstract"><div class="htmlview paragraph">Advanced driver assistance systems (ADAS) and automated driving systems (ADS) continue to expand into the market at a rapid pace. As improved (i.e., next generation) versions of these systems become available, they will continue to face many challenges in their implementation and benefits for safety and driving operations. The solution will involve many parties, including road safety professionals and researchers who see the potential in these systems but may have difficulties keeping up with them, and safety advocates w
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Journal articles Dissertations / Theses
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