Trends and emerging technologies for the development of electric vehicles

T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …

Deep reinforcement learning for personalized driving recommendations to mitigate aggressiveness and riskiness: Modeling and impact assessment

EG Mantouka, EI Vlahogianni - Transportation research part C: emerging …, 2022 - Elsevier
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …

Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic

R Tamakloe, K Zhang, J Atandzi, D Park - Transport Policy, 2024 - Elsevier
The demand for urban delivery services (UDS) in low-and middle-income countries (LMICs)
has been growing due to the spike in e-commerce activities. This phenomenon has led to …

Investigating the impacts of the COVID-19 pandemic on Eco-driving behavior

P Fafoutellis, EG Mantouka, EI Vlahogianni, P Fortsakis - Safety science, 2023 - Elsevier
The outburst of the COVID-19 pandemic has significantly disrupted the operation of the
existing transportation systems, decreasing the total number of trips, as well as the habits of …

Deep-learning based trust management with self-adaptation in the internet of behavior

H Bangui, E Cioroaica, M Ge, B Buhnova - Proceedings of the 38th ACM …, 2023 - dl.acm.org
Internet of Behavior (IoB) has emerged as a new research paradigm within the context of
digital ecosystems, with the support for understanding and positively influencing human …

[HTML][HTML] Understanding user perception and feelings for autonomous mobility on demand in the COVID-19 pandemic era

EG Mantouka, P Fafoutellis, EI Vlahogianni… - Transportation Research …, 2022 - Elsevier
New mobility-on-demand services together with the emerging technology of autonomous
vehicles (AV) aim to revolutionize urban transportation systems, by introducing autonomous …

[HTML][HTML] Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset

P Fafoutellis, EI Vlahogianni - International Journal of Transportation …, 2023 - Elsevier
In this paper, a meaningful representation of the road network using Multiplex Networks and
a novel feature selection framework that enhances the predictability of future traffic …

The multi-level fiscal governance of ecological transition

S Dougherty, AM Nebreda - 2023 - oecd-ilibrary.org
This paper investigates the role of fiscal federalism in driving ecological transition, a key
challenge in the United Nations' Sustainable Development Goals agenda. The ecological …

Uncovering the spatiotemporal patterns of traffic-related CO2 emission and carbon neutrality based on car-hailing trajectory data

W Teng, C Shi, Y Yu, Q Li, J Yang - Journal of Cleaner Production, 2024 - Elsevier
Traffic-related carbon dioxide (CO 2) emissions constitute a significant portion of
greenhouse gas emissions in urban areas, necessitating a comprehensive understanding of …

Modeling driving styles of online ride-hailing drivers with model identifiability and interpretability

Y Ma, Z Xie, W Li, S Chen - Travel Behaviour and Society, 2023 - Elsevier
The online ride-hailing industry has grown rapidly and has greatly improved travel efficiency
worldwide. The driving styles of the drivers of ride-hailing vehicles largely determine the …