Deep kinematic models for kinematically feasible vehicle trajectory predictions

H Cui, T Nguyen, FC Chou, TH Lin… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Self-driving vehicles (SDVs) hold great potential for improving traffic safety and are poised to
positively affect the quality of life of millions of people. To unlock this potential one of the …

A security-by-design decision-making model for risk management in autonomous vehicles

M Abdel-Basset, A Gamal, N Moustafa… - IEEE …, 2021 - ieeexplore.ieee.org
Autonomous/self-driving vehicles have gained significant attention these days, as one of the
intelligent transportation systems. However, those vehicles have risks related to their …

Attribution of blame of crash causation across varying levels of vehicle automation

JM Bennett, KL Challinor, O Modesto, P Prabhakharan - Safety Science, 2020 - Elsevier
Whilst public opinion towards automated vehicles is largely favourable, there are recurrent
concerns around responsibility in the event of a crash (Kyriakidis et al., 2015). There is …

Factors affecting the adoption of autonomous vehicles for commute trips: an analysis with the 2015 and 2017 Puget Sound Travel Surveys

K Wang, G Akar - Transportation Research Record, 2019 - journals.sagepub.com
The emergence of autonomous vehicles (AVs) may shape the future landscape of urban
mobility. Although there is a growing literature on public opinions with regard to self-driving …

Can (A) I give you a ride? Development and validation of the CRUISE framework for autonomous vehicle services

VS Osburg, V Yoganathan… - Journal of Service …, 2022 - journals.sagepub.com
Advances in artificial intelligence (AI) are increasingly enabling firms to develop services
that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to …

Consumer intentions for alternative fuelled and autonomous vehicles: A segmentation analysis across six countries

D Potoglou, C Whittle, I Tsouros, L Whitmarsh - … Research Part D: Transport …, 2020 - Elsevier
Rapid advances in the development of autonomous and alternative-fuel vehicles (AFVs) are
likely to transform the future of mobility and could bring benefits such as improved road …

Autonomous vs. self-driving vehicles: the power of language to shape public perceptions

E Kassens-Noor, M Wilson, M Cai, N Durst… - Journal of Urban …, 2021 - Taylor & Francis
Public perception of the next generation of vehicles will affect their design, deployment, and
ultimately their use. As the engineering terms of self-driving, driverless, fully automated, and …

[图书][B] Bicycle utopias: Imagining fast and slow cycling futures

C Popan - 2019 - taylorfrancis.com
Bicycle Utopias investigates the future of urban mobilities and post-car societies, arguing
that the bicycle can become the nexus around which most human movement will revolve …

Modeling consumers' likelihood to adopt autonomous vehicles based on their peer network

I Sharma, S Mishra - Transportation research part D: transport and …, 2020 - Elsevier
Adoption of connected and autonomous vehicles (CAVs) is viewed as one of the vital factors
by public and private agencies as benefits are slowly getting quantified with further …

Ensuring the robustness and reliability of data-driven knowledge discovery models in production and manufacturing

S Tripathi, D Muhr, M Brunner, H Jodlbauer… - Frontiers in artificial …, 2021 - frontiersin.org
The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely accepted
framework in production and manufacturing. This data-driven knowledge discovery …