[HTML][HTML] Criticality metrics for automated driving: A review and suitability analysis of the state of the art

L Westhofen, C Neurohr, T Koopmann, M Butz… - … Methods in Engineering, 2023 - Springer
The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of …

S Rejali, K Aghabayk, S Esmaeli, N Shiwakoti - … research part A: policy and …, 2023 - Elsevier
Fully automated vehicles (FAVs) are predicted to enter the passenger vehicle market in the
near future. Being a new technology, there is significant uncertainty on adoption by users …

Big Data Analytics and IoT in logistics: a case study

J Hopkins, P Hawking - The International Journal of Logistics …, 2018 - emerald.com
Purpose Advances in technology enable companies to collect and analyse data, which were
previously not accessible, to either enhance existing business processes or create new …

Modeling connected and autonomous vehicles in heterogeneous traffic flow

L Ye, T Yamamoto - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
The objective of this study was to develop a heterogeneous traffic-flow model to study the
possible impact of connected and autonomous vehicles (CAVs) on the traffic flow. Based on …

A review on energy, environmental, and sustainability implications of connected and automated vehicles

M Taiebat, AL Brown, HR Safford, S Qu… - Environmental science & …, 2018 - ACS Publications
Connected and automated vehicles (CAVs) are poised to reshape transportation and
mobility by replacing humans as the driver and service provider. While the primary stated …

Automated speed and lane change decision making using deep reinforcement learning

CJ Hoel, K Wolff, L Laine - 2018 21st International Conference …, 2018 - ieeexplore.ieee.org
This paper introduces a method, based on deep reinforcement learning, for automatically
generating a general purpose decision making function. A Deep Q-Network agent was …

[HTML][HTML] The adoption of green vehicles in last mile logistics: A systematic review

SM Patella, G Grazieschi, V Gatta, E Marcucci… - Sustainability, 2020 - mdpi.com
Widespread adoption of green vehicles in urban logistics may contribute to the alleviation of
problems such as environmental pollution, global warming, and oil dependency. However …

Adopting autonomous vehicles: The moderating effects of demographic variables

J Park, EP Hong, HTPM Le - Journal of Retailing and Consumer Services, 2021 - Elsevier
Autonomous vehicles (AV) are considered one of the most disruptive technology innovations
due to issues of customers' acceptance based on safety, ethics, etc. Along with the rapid …

Willingness to pay for self-driving vehicles: Influences of demographic and psychological factors

P Liu, Q Guo, F Ren, L Wang, Z Xu - Transportation Research Part C …, 2019 - Elsevier
Research on willingness to pay (WTP) can provide practical insights for assessing the value
of self-driving vehicle (SDV) technology in the vehicle market. Are people willing to pay extra …

Do travelers trust intelligent service robots?

IP Tussyadiah, FJ Zach, J Wang - Annals of Tourism Research, 2020 - Elsevier
This research investigates travelers' trust in intelligent autonomous technologies based on
two studies involving self-driving transportation and robot bartenders. Targeting travelers …