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 …
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
Most driving recommendation and assistance systems, such as Advanced Driving
Assistance Systems (ADAS), are usually designed based on the behavior of an average …
Assistance Systems (ADAS), are usually designed based on the behavior of an average …
What influences intermodal Choices: Metro-Centric, Bus-Centric, Hybrid? insights from Machine learning Approaches
Three types of intermodals are defined: bus-centric, metro-centric, and hybrid, each
representing combinations of bus, metro, and a mix of metro and bus with other travel modes …
representing combinations of bus, metro, and a mix of metro and bus with other travel modes …
Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic
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 …
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
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 …
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
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 …
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
New mobility-on-demand services together with the emerging technology of autonomous
vehicles (AV) aim to revolutionize urban transportation systems, by introducing 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
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 …
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 …
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 …
greenhouse gas emissions in urban areas, necessitating a comprehensive understanding of …