The willingness to pay for the automated vehicle subscription: Insights from a car-oriented population in China

J Guan, K Chen, R Mao, A Shamshiripour… - … Research Part A: Policy …, 2024 - Elsevier
In the rapidly advancing field of automated driving systems, the automated vehicle
subscription (AVS) can provide the easiness of trialing the latest automated vehicle (AV) …

Private vehicle drivers' acceptance of autonomous vehicles: The role of trait mindfulness

J Guan, X Du, J Zhang, P Maymin, E DeSoto, E Langer… - Transport policy, 2024 - Elsevier
Autonomous vehicles (AVs) are stepping into our daily life. The acceptance of AVs by
people, especially private vehicle drivers (PVDs), would significantly influence the …

Real-scale demonstration of digital twins-based aeration control policy optimization in partial nitritation/Anammox process: Policy iterative dynamic programming …

SK Heo, T Oh, TY Woo, SY Kim, Y Choi, M Park, J Kim… - Desalination, 2025 - Elsevier
Partial nitritation (PN) and anaerobic ammonium oxidation (Anammox) process is a
promising energy-efficient nitrogen removal method in wastewater sector. Recently, artificial …

A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva's public transportation

S Zakeri, D Konstantas, S Sorooshian… - Artificial Intelligence …, 2024 - Springer
This paper proposes a novel decision-support system (DSS) to assist decision-makers in the
ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland …

Learning from the dark side: A parallel time series modelling framework for forecasting and fault detection on intelligent vehicles

Y Xing, Z Hu, P Hang, C Lv - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Time series vehicle state modelling is crucial in various real-world applications, such as fault
detection, fault tolerance, optimization, and cyber security for intelligent vehicles (IVs). In this …

Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

P Fan, G Song, Z Zhai, Y Wu, L Yu - Transportation Research Part D …, 2024 - Elsevier
Insufficient consideration of vehicle weight dynamics during real-world driving could lead to
inaccurate fuel consumption estimates. This study examined the impact of vehicle weight on …

Optimization strategy for connected automated vehicles to reduce energy consumption on freeway in rainy weather

Y Qin, T Xiao, H Wang - Energy, 2024 - Elsevier
Energy consumption on freeway significantly contributes to environmental pollution. Rainy
weather, as a common adverse condition, will exert a negative impact on car-following …

A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence

F Tingelhoff, M Brugger… - Journal of Information …, 2024 - journals.sagepub.com
Generative artificial intelligence (Gen. AI) is capable of significantly improving the breadth
and depth of structured literature reviews (SLRs). However, its inclusion raises essential …

The Road to Smart Mobility: Insights From IEEE TIV on the Evolution of Intelligent Vehicles

T Fu, J Yan, S Ren, H Zhang, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of intelligent vehicle (IV) technology, this field has gradually
become the focus of attention in both the academic and industrial communities. This study …

Assessing the Paradox of Autonomous Vehicles: Promised Fuel Efficiency vs. Aggregate Fuel Consumption

D Mohammed, B Horváth - Energies, 2024 - mdpi.com
As autonomous vehicles (AVs) continue to evolve and approach widespread adoption in the
near future, the touted benefits of improved fuel efficiency at an individual level come under …