When Autonomous Vehicles Are Introduced on a Larger Scale in the Road Transport System: The Drive Me Project

Victor, Trent; Rothoff, Marcus; Coelingh, Erik; Odblom, Anders; Burgdorf, Klaas

doi:10.1007/978-3-319-31895-0_24

Cited by 19 publications

(10 citation statements)

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“…Volvo's Drive Me project, will put a fleet of 100 autonomous vehicles in the hands of everyday drivers with the promise that they will not need to continuously supervise the vehicle operation. These vehicles will be tested on public roads in Gothenburg, Sweden as a means of defining and evaluating how AVs impact the quality of life and the urban environment [20]. At the same time the UK Government is dedicating financial resources for creating the world's most effective CAV testing ecosystem by building a number of distinct test capabilities.…”

Section: The Current State Of Developmentmentioning

confidence: 99%

How Can Autonomous and Connected Vehicles, Electromobility, BRT, Hyperloop, Shared Use Mobility and Mobility-As-A-Service Shape Transport Futures for the Context of Smart Cities?

et al. 2017

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Abstract:A smarter transport system that caters for social, economic and environmental sustainability is arguably one of the most critical prerequisites for creating pathways to more livable urban futures. This paper aims to provide a state-of-the-art analysis of a selection of mobility initiatives that may dictate the future of urban transportation and make cities smarter. These are mechanisms either recently introduced with encouraging uptake so far and much greater potential to contribute in a shift to a better transport paradigm or still in an embryonic stage of their development and yet to be embraced as powerful mechanisms that could change travel behaviour norms. Autonomous and connected vehicles are set to revolutionise the urban landscape by allowing machines to take over driving that for over a century has been exclusively a human activity, while electrical vehicles are already helping decarbonising the transport sector. Bus rapid transit has been steadily reinventing and rebranding conventional bus services revitalising the use of the humblest form of public transport, while hyperloop is an entirely new, disruptive, and somewhat provocative, travel mode proposition based on the use of sealed tube systems through which pods could travel free of air resistance with speeds exceeding 1000 km/h. Shared use mobility mechanisms like car-sharing, ride-sharing, ride-sourcing and public bicycles can help establishing a culture for using mobility resources on an as-needed basis, while mobility-as-a-service will take this sharing culture a step further, offering tailored mobility and trip planning packages that could entirely replace the need for privately owned modes of transport.

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Section: The Current State Of Developmentmentioning

confidence: 99%

How Can Autonomous and Connected Vehicles, Electromobility, BRT, Hyperloop, Shared Use Mobility and Mobility-As-A-Service Shape Transport Futures for the Context of Smart Cities?

et al. 2017

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“…In unsupervised autonomous driving, the driver delegates full control and responsibility to the vehicle, to be free to do something else (work, watch a film, etc.). This type of automation requires a vehicle designed for complete support and crash avoidance in all conflict situations (see, e.g., Lindman et al, 2017 ; Victor, Rothoff, Coelingh, Ödblom, & Burgdorf, 2017 ). Supervised automation, on the other hand, only partly supports the driving task (e.g., headway control with some degree of steering assistance), and the driver is still required to supervise the driving and intervene at sensing or actuation limits (e.g., conflict situations).…”

Section: Introductionmentioning

confidence: 99%

Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel

et al. 2018

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Objective:The aim of this study was to understand how to secure driver supervision engagement and conflict intervention performance while using highly reliable (but not perfect) automation.Background:Securing driver engagement—by mitigating irony of automation (i.e., the better the automation, the less attention drivers will pay to traffic and the system, and the less capable they will be to resume control) and by communicating system limitations to avoid mental model misconceptions—is a major challenge in the human factors literature.Method:One hundred six drivers participated in three test-track experiments in which we studied driver intervention response to conflicts after driving highly reliable but supervised automation. After 30 min, a conflict occurred wherein the lead vehicle cut out of lane to reveal a conflict object in the form of either a stationary car or a garbage bag.Results:Supervision reminders effectively maintained drivers’ eyes on path and hands on wheel. However, neither these reminders nor explicit instructions on system limitations and supervision responsibilities prevented 28% (21/76) of drivers from crashing with their eyes on the conflict object (car or bag).Conclusion:The results uncover the important role of expectation mismatches, showing that a key component of driver engagement is cognitive (understanding the need for action), rather than purely visual (looking at the threat), or having hands on wheel.Application:Automation needs to be designed either so that it does not rely on the driver or so that the driver unmistakably understands that it is an assistance system that needs an active driver to lead and share control.

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“…In Sweden, Volvo's Drive Me project with the blessing of the authorities, intended to put a fleet of 100 AVs in the hands of regular drivers on the public roads of Gothenburg with the promise that they will not need to constantly supervise the driving activities, as a means of understanding how these cars impact the quality of life and the urban environment (Victor et al, 2017). However, the goal of testing out these vehicles has now been delayed until 2021 after Volvo, famed for its advanced vehicle safety, decided it cannot meet its original deadline.…”

Section: Introductionmentioning

confidence: 99%

Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm

Dani

Nikitas

Njoya

2019

IJATM

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Connected and autonomous vehicles (CAVs) could become the most powerful mobility intervention in the history of human race; possibly greater than the conception of the wheel itself or the shift from horse-carriages to automobiles. Despite CAVs' likely traffic safety, economic, environmental, social inclusion and network performance benefits their full-scale implementation may not be as predictable, uncomplicated, acceptable and risk-free as it is often communicated by a large share of automotive industries, policy-makers and transport experts. Framing an 'unproven', 'disruptive' and 'life-changing' intervention, primarily based on its competitive advantages over today's conventional automobile technologies, may create misconceptions, overreaching expectations and room for errors that societies need to be cautious about. This article 'tests' eleven myths referring to an overly optimistic CAVs' development and adoption timeline. This approach highlights unresolved issues that need to be addressed before an inescapable CAV-based mobility paradigm transition takes place and provides relevant policy recommendations of how to achieve that.

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When Autonomous Vehicles Are Introduced on a Larger Scale in the Road Transport System: The Drive Me Project

Cited by 19 publications

References 0 publications

How Can Autonomous and Connected Vehicles, Electromobility, BRT, Hyperloop, Shared Use Mobility and Mobility-As-A-Service Shape Transport Futures for the Context of Smart Cities?

How Can Autonomous and Connected Vehicles, Electromobility, BRT, Hyperloop, Shared Use Mobility and Mobility-As-A-Service Shape Transport Futures for the Context of Smart Cities?

Automation Expectation Mismatch: Incorrect Prediction Despite Eyes on Threat and Hands on Wheel

Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm

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