How Will Autonomous Vehicles Operate in an Unlawful Environment? - The Potential of Autonomous Vehicles for Disregarding the Law

Dolianitis, Alexandros; Chalkiadakis, Charis; Mylonas, Chrysostomos; Tzanis, Dimitris

doi:10.1109/mtits.2019.8883326

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…This may be because our study was only an online video study recorded from driving simulators. Future research can use recordings from real-world scenarios or conduct on-road testings, where traffic flows are mixed and vehicles may have unlawful behaviors ( 26 ). The investigations of trust in AVs in such conditions can increase the ecological validity and generalization of findings.…”

Section: Discussionmentioning

confidence: 99%

Cross-Cultural Investigation of the Effects of Explanations on Drivers’ Trust, Preference, and Anxiety in Highly Automated Vehicles

Robert

Yang

2022

Transportation Research Record: Journal of the Transportation R

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This study explored, in consideration of cultural differences, how explanation timing and permission of the automated vehicle’s (AV’s) actions affected drivers’ trust in, preference for, and anxiety about the AV. We conducted a video-based online survey study with 118 participants in different cultural contexts. Each participant experienced four conditions in highly automated driving: (1) no explanations, (2) explanations given before, or (3) after the AV acted, and (4) the option for drivers to approve or disapprove the AV’s action after explanations. We found that context cultures influenced drivers’ trust in and preference for the AV only when explanations were provided. Participants with higher-context cultures had higher trust in and preference for the AV. Such influence was augmented especially when the AV asked for permission after explanations. Our results have important implications for the design of in-vehicle interfaces. We suggest that AV manufacturers should incorporate cultural differences into AV explanation interface design for global use.

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Section: Discussionmentioning

confidence: 99%

Cross-Cultural Investigation of the Effects of Explanations on Drivers’ Trust, Preference, and Anxiety in Highly Automated Vehicles

Robert

Yang

2022

Transportation Research Record: Journal of the Transportation R

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“…The ultimate goal of autonomous vehicles is to achieve an automation level of "Level 5" (in the Society of Automotive Engineers Level of Automation scale), which corresponds to a full driving automation, but most of the current automated road vehicles remain on "Level 3", which corresponds to a conditional driving automation, or even lower levels [4]. This is largely due to technical factors, and legal factors cannot be ignored [5]. In certain areas, higher-level autonomous vehicles are already in use, such as unmanned cargo vehicles in the factory and shuttle buses in the park [6].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

Wang

Deng

et al. 2022

Automot. Innov.

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Fleets of autonomous vehicles including shuttle buses, freight trucks, and road sweepers will be deployed in the Olympic Village during Beijing 2022 Winter Olympics. This requires intelligent charging infrastructure based on wireless power transfer technology to be equipped. To increase the misalignment tolerance of a high-power wireless charger, the robustness of the magnetic coupler should be optimized. This paper presents a new type of unipolar coupler, which is composed of three connected coils in series. The dimensional configuration of the coils is analyzed by the finite element method. The characteristic parameters of the coil are identified with their influence on the self-inductance and coupling coefficient. An expert model is built, whose feasibility can be verified in the aimed design domain. Combined with the expert model, an improved simulated annealing algorithm with a backtracking mechanism is proposed. The primary coil can reach the expected characteristics from any starting parameter combination through the proposed optimization algorithm. Under the same conditions in terms of external circuit parameters, ferrite usage, and aluminum shielding, the offset sensitivity of the magnetic coupler can be reduced from 58.79% to 18.89%. A prototype is established, validating the feasibility of the proposed coil structure with the optimized parameter algorithm.

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Is Greece Ready for Autonomous Vehicles? A Methodological Approach

Mylonas

Mitsakis

Dolianitis

et al. 2020

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)

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How Will Autonomous Vehicles Operate in an Unlawful Environment? - The Potential of Autonomous Vehicles for Disregarding the Law

Cited by 3 publications

References 12 publications

Cross-Cultural Investigation of the Effects of Explanations on Drivers’ Trust, Preference, and Anxiety in Highly Automated Vehicles

Cross-Cultural Investigation of the Effects of Explanations on Drivers’ Trust, Preference, and Anxiety in Highly Automated Vehicles

Magnetic Coupler Robust Optimization Design for Electric Vehicle Wireless Charger Based on Improved Simulated Annealing Algorithm

Is Greece Ready for Autonomous Vehicles? A Methodological Approach

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