Automated vehicles and behavioural adaptation in Canada

Robertson, Robyn; Meister, Shawna R.; Vanlaar, Ward; Hing, Marisela Mainegra

doi:10.1016/j.tra.2017.08.005

Cited by 37 publications

(32 citation statements)

References 7 publications

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“…This includes automated public transport (Madigan et al, 2017;Alessandrini et al, 2014), bicycle sharing (Fan and Zheng, 2020;Kaplan et al, 2015), and even air travel (Rice et al, 2019;Bouwens et al, 2018). When it comes to private vehicles, acceptance research began growing in prominence in the early noughties and has been progressing alongside the technology -with earlier studies looking at advanced driver assistance systems like cruise control and speed assist (Wiethoff et al, 2002;Marchau et al, 2001) to more recent studies looking at self-driving cars (Raue et al, 2019;Robertson et al, 2017;Daziano et al, 2017;Schoettle and Sivak, 2014); see Becker and Axhausen (2017) for a literature review.…”

Section: Relevant Literaturementioning

confidence: 99%

The Long Road to Automated Trucking: Insights from Driver Focus Groups

et al. 2021

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With the rapid progress of automated driving technology, self-driving vehicles are on the horizon. In this study, we look at what is likely to be the first implementation of a form of automated driving on public roads, i.e., truck platooning, where virtually connected trucks drive at short headways to save fuel and associated emissions. With progressing technology, we may see platoons with drivers resting while being in the truck or even platoons in which not all trucks require drivers. Hence, platooning technology has a significant impact on the jobs of truck drivers. Driver acceptance of this emerging technology is therefore an important factor in the implementation of platooning and, consequently, automated driving in general. In this study, we explore the range of perspectives that exist among drivers by conducting focus groups in the Netherlands. These discussions indicate that drivers foresee that platooning will eventually become a reality but believe it will have a negative impact on the quality of their work and their job satisfaction.

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Section: Relevant Literaturementioning

confidence: 99%

The Long Road to Automated Trucking: Insights from Driver Focus Groups

et al. 2021

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“…In order to have a safe deployment and transition toward increasingly capable SAVs, older adult drivers need to adopt, understand, trust, and properly use SAVs. Drivers' knowledge and familiarity with SAV technology is poor [51]. Older adults are normally comfortable with new technology being integrated into their vehicles; however, there is some reluctance to relinquish control to an SAV believed to have inferior driving experience or that is not fully understood.…”

Section: Older Drivers Adapting To Savmentioning

confidence: 99%

“…In other words, older drivers are less confident, skeptical in these technologies, and thus least likely to trust and use them to improve their safety on the road [52,53]. Robertson et al (2017) reported results of an online survey and focus groups, that drivers aged 70 years or older were less likely to feel safe using SAVs, related to feelings of poor knowledge about safety. Furthermore, a recent survey found that drivers are not adequately learning to use the systems, in part related to preferred method of learning [54].…”

Section: Older Drivers Adapting To Savmentioning

confidence: 99%

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Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

et al. 2019

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Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

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“…One of the industries to see the biggest impact of IT was the automotive and transportation industry (Mendes et al, 2017). Here, an evolution of evermore connected and sophisticated products has been growing, especially regarding the autonomous vehicles (AVs) (Robertson et al, 2017). As vehicle control systems become increasingly complex, the Society of Automotive Engineers (SAE, 2016) has created the definition of AVs, these being motor vehicles which perform the task of driving in a partial or completely autonomous way, through driving automation systems.…”

Section: Introductionmentioning

confidence: 99%

From technology to market: a bibliometric and integrative review on autonomous vehicles

Silva

Gandia

Sugano

et al. 2020

WRITR

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The present study aims to understand the direction that research on autonomous vehicles (AVs) has taken in the academy, in order to bring to surface and detail gaps on the disruptive aspect of this innovative sector. A bibliometric revision was used to map the research present in the Clarivate Analytics Web of Science database, followed by a systematic integrative review to structure the evolution of the research and present the main aspects. Five categories that show the evolution of the research on AV technology were retrieved, such as a new focus on the users of technology. We also identified gaps in each category on how this technology should reach the market. Additionally, it was also possible to draw a global view of the technology development landscape by the analysis of both academic and market data, according to the KPMG report, and also to identify the recent market trend of mobility as a service (MaaS).

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Automated vehicles and behavioural adaptation in Canada

Cited by 37 publications

References 7 publications

The Long Road to Automated Trucking: Insights from Driver Focus Groups

The Long Road to Automated Trucking: Insights from Driver Focus Groups

Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

From technology to market: a bibliometric and integrative review on autonomous vehicles

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