The role of brand in overcoming consumer resistance to autonomous vehicles

The opportunities offered by digital technology are enormous. The global social and economic system is being reconfigured at an incredible rate. Connectivity is increasingly reshaping our world and redefining the way we interact with our environment. The rise of digital technologies is transforming almost every aspect of modern life. More and more of our interactions are mediated by machines. Along with the rapid evolution comes the risks, threats, and vulnerabilities in the system for those who plan to exploit it. In this chapter, firstly, the authors explore the role of 5G, big data, the internet of things (IoT), artificial intelligence (AI), autonomous vehicles (AV), and cloud computing play in the context of smart societies; secondly, they analyse how the synergy between these technologies will be used by governments and other stakeholders around the world to improve the safety of citizens albeit increasingly relinquishing privacy rights and encouraging mass surveillance at the expense of liberty.

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The Autonomous Vehicle Revolution: Implications for Planning/The Driverless City?/Autonomous Vehicles – A Planner’s Response/Autonomous Vehicles: Opportunities, Challenges and the Need for Government Action/Three Signs Autonomous Vehicles Will Not Lead to Less Car Ownership and Less Car Use in Car Dependent Cities – A Case Study of Sydney, Australia/Planning for Autonomous Vehicles? Questions of Purpose, Place and Pace/Ensuring Good Governance: The Role of Planners in the Development of Autonomous Vehicles/Putting Technology in its Place

Planning Theory & Practice ◽

10.1080/14649357.2018.1537599 ◽

2018 ◽

Vol 19 (5) ◽

pp. 753-778 ◽

Cited By ~ 10

Author(s):

Libby Porter ◽

John Stone ◽

Crystal Legacy ◽

Carey Curtis ◽

James Harris ◽

...

Keyword(s):

Autonomous Vehicles ◽

Good Governance ◽

Autonomous Vehicle ◽

Car Ownership ◽

Government Action ◽

Car Use ◽

Sydney Australia

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EUREC4A: First Impressions

10.5194/egusphere-egu2020-6116 ◽

2020 ◽

Author(s):

Bjorn Stevens ◽

Sandrine Bony ◽

David Farrell ◽

Alan Blyth ◽

Chris Fairall ◽

...

Keyword(s):

Autonomous Vehicles ◽

Lower Atmosphere ◽

First Impressions ◽

Ground Station ◽

Comprehensive Picture ◽

Research Aircraft ◽

Radiative Feedbacks ◽

Aerosol Cloud Interactions

The EUREC4A field campaign took place during January and February 2020, in the lower trades of the northern tropical Atlantic, over and in the seas windward of Barbados. &#160;The initial purpose of the&#160;campaign was to test hypothesized cloud responses underpinning large&#160;positive radiative feedbacks from the desiccation of marine shallow&#160;convection with warming. To do so EUREC4A built on a long-standing cooperation with the Caribbean Institute for Meteorology and Hydrology to collect long-term cloud observations. Its scope was subsequently expanded by the addition of many partners, with funding from a variety of additional EU and UK projects, and US participants through ATOMIC, to address many&#160;additional questions. These ranged from the role of fine-scale eddies and fronts on air-sea&#160;coupling, to the effects of meso-scale organization on cloud radiative&#160;effects, to the strength of aerosol cloud interactions, among others. Hundreds of scientists from nearly a dozen nations -- incorporating measurements from four large Research Vessels and five Research Aircraft, an advanced remote sensing ground station and a large&#160;number of autonomous vehicles in the air and sea -- combined their expertise&#160;&#160;to develop an unusually comprehensive picture of the processes relevant to the lower atmosphere and the upper ocean in the lower trades. We&#160;share our first impressions from EUREC4A, its surprises, and its prospects&#160;for answering some of the riddles that motivated this tremendous and coordinated effort.

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The Role of GMOs in Trade Disputes

EDIS ◽

10.32473/edis-fe471-2003 ◽

1969 ◽

Vol 2004 (1) ◽

Author(s):

Andrew Schmitz ◽

Charles Moss ◽

Won Koo

Keyword(s):

Resource Economics ◽

Cooperative Extension Service ◽

Marketing Channels ◽

Agricultural Products ◽

Trade Disputes ◽

University Of Florida ◽

Identity Preservation ◽

Technical Aspects ◽

Consumer Resistance

GMOs in agricultural products have met with consumer resistance both domestically and abroad, resulting in marketing and policies that could disrupt trade and international negotiations. Research presented during the conference focused on three areas: (1) technical aspects of GMOs and their international impacts, (2) property rights surrounding GMOs and identity preservation costs associated with keeping marketing channels segmented, and (3) consumer education related to GMOs. This is EDIS document FE471, a publication of the Department of Food and Resource Economics, Florida Cooperative Extension Service, UF/IFAS, University of Florida, Gainesville, FL. Published December 2003. https://edis.ifas.ufl.edu/fe471

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Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2019.2933601 ◽

2019 ◽

Vol 68 (10) ◽

pp. 9438-9450 ◽

Cited By ~ 3

Author(s):

Lia Morra ◽

Fabrizio Lamberti ◽

F. Gabriele Prattico ◽

Salvatore La Rosa ◽

Paolo Montuschi

Keyword(s):

Virtual Reality ◽

Autonomous Vehicles ◽

Driving Simulators ◽

Building Trust

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Knowing What’s Coming: Unpredictable Motion Causes More Motion Sickness

Human Factors The Journal of the Human Factors and Ergonomics Society ◽

10.1177/0018720819876139 ◽

2019 ◽

Vol 62 (8) ◽

pp. 1339-1348 ◽

Cited By ~ 3

Author(s):

Ouren X. Kuiper ◽

Jelte E. Bos ◽

Eike A. Schmidt ◽

Cyriel Diels ◽

Stefan Wolter

Keyword(s):

Motion Sickness ◽

Autonomous Vehicles ◽

Sensory Information ◽

Exact Role ◽

Motion Direction ◽

Point Motion ◽

Within Subjects ◽

Predictable Condition

Objective This study explores the role of anticipation in motion sickness. We compared three conditions varying in motion predictability and assessed the effect of anticipation on subsequent illness ratings using a within-subjects design. Background Anticipation is thought to play a role in motion sickness by reducing the discrepancy between sensed and expected sensory information. However, both the exact role and potential magnitude of anticipation on motion sickness are unknown. Method Participants ( N = 17) were exposed to three 15-min conditions consisting of repeated fore-aft motion on a sled on a 40-m rail (1) at constant intervals and consistent motion direction, (2) at constant intervals but varied motion direction, and (3) at varied intervals but consistent motion direction. Conditions were otherwise identical in motion intensity and displacement, as they were composed of the same repetitions of identical blocks of motion. Illness ratings were recorded at 1-min intervals using an 11-point motion sickness scale. Results Average illness ratings after exposure were significantly lower for the predictable condition, compared with both the directionally unpredictable condition and the temporally unpredictable condition. Conclusion Unpredictable motion is significantly more provocative compared with predictable motion. Findings suggest motion sickness results from a discrepancy between sensed and expected motion, rather than from unpreparedness to motion. Application This study underlines the importance of an individual’s anticipation to motion in motion sickness. Furthermore, this knowledge could be used in domains such as that of autonomous vehicles to reduce carsickness.

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The effects of autonomous buses to vehicle scheduling system

International Journal of Traffic and Transportation Management ◽

10.5383/jttm.02.02.003 ◽

2020 ◽

Vol 02 (02) ◽

pp. 19-23

Author(s):

Viktor Nagy ◽

Balázs Horváth

Keyword(s):

Public Transport ◽

Autonomous Vehicles ◽

Basic Problem ◽

Road Traffic ◽

Economic Potential ◽

Scheduling System ◽

European Cities ◽

Rest Time ◽

The One

We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about selfdriving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.

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A Formulation and Heuristic Approach to Task Allocation and Routing of UAVs under Limited Communication

Unmanned Systems ◽

10.1142/s2301385014500010 ◽

2014 ◽

Vol 02 (01) ◽

pp. 1-17 ◽

Cited By ~ 12

Author(s):

Chelsea Sabo ◽

Derek Kingston ◽

Kelly Cohen

Keyword(s):

Autonomous Vehicles ◽

Heuristic Approach ◽

Base Stations ◽

Communication Model ◽

Mobile Wireless ◽

Routing Problem ◽

Unmanned Air Vehicle ◽

Air Vehicle ◽

Underlying Network

Unmanned Air Vehicle (UAV) teams are anticipated to provide surveillance support through algorithms, software, and automation. It is desirable to have algorithms that compute effective and efficient routes for multiple UAVs across a variety of missions. These algorithms must be realizable, practical, and account for uncertainties. In surveillance missions, UAVs act as mobile wireless communication nodes in a larger, underlying network consisting of targets where information is to be collected and base stations where information is to be delivered. The role of UAVs in these networks has primarily been to maintain or improve connectivity while undervaluing routing efficiency. Moreover, many current routing strategies for UAVs ignore communication constraints even though neglecting communication can lead to suboptimal tour designs. Generating algorithms for autonomous vehicles that work effectively despite these communication restrictions is key for the future of UAV surveillance missions. A solution is offered here based on a variation of the traditional vehicle routing problem and a simple communication model. In this work, the new routing formulation is defined, analyzed, and a heuristic approach is motivated and described. Simulation results show that the heuristic algorithm gives near-optimal results in real time, allowing it to be used for large problem sizes and extended to dynamic scenarios.

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