Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
Machine learning approaches to bike-sharing systems: A systematic literature review
V Albuquerque, M Sales Dias, F Bacao - ISPRS International Journal of …, 2021 - mdpi.com
Cities are moving towards new mobility strategies to tackle smart cities' challenges such as
carbon emission reduction, urban transport multimodality and mitigation of pandemic …
carbon emission reduction, urban transport multimodality and mitigation of pandemic …
Mobility pattern recognition based prediction for the subway station related bike-sharing trips
The free-floating bike-sharing (BS) system plays an important role in connection with the
public transit system. However, few studies have addressed the impacts of the subway …
public transit system. However, few studies have addressed the impacts of the subway …
Seismic vulnerability assessment methodologies for roadway assets and networks: A state-of-the-art review
Road networks are considered as one of the most important transport infrastructure systems,
since they attain the economic and social prosperity of modern societies. For this reason, it is …
since they attain the economic and social prosperity of modern societies. For this reason, it is …
Intelligent traffic monitoring and guidance system for smart city
IoT stands for Internet of things which is defined as an intercommunication of heterogeneous
smart devices acting as a single network. In IoT, every device is connected via internet with …
smart devices acting as a single network. In IoT, every device is connected via internet with …
Machine learning for internet of things-based smart transportation networks
The world's population is expanding, and people want to live in cities, making city
administration a difficult task. Traditional cities, with their shared characteristics, will be …
administration a difficult task. Traditional cities, with their shared characteristics, will be …
A Study of Machine‐Learning Classifiers for Hypertension Based on Radial Pulse Wave
Z Luo, J Cui, X Hu, L Tu, H Liu, W Jiao… - BioMed research …, 2018 - Wiley Online Library
Objective. In this study, machine learning was utilized to classify and predict pulse wave of
hypertensive group and healthy group and assess the risk of hypertension by observing the …
hypertensive group and healthy group and assess the risk of hypertension by observing the …
Edge Computing Enabling Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
H Chen, Y Wen, Y Huang, C **ao… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Ships (IoS), by integrating advanced technologies such as the Internet of
Things, cloud computing, and artificial intelligence, aims to interconnect and communicate …
Things, cloud computing, and artificial intelligence, aims to interconnect and communicate …
[HTML][HTML] Understanding information needs for seamless intermodal transportation: Evidence from Germany
Cities worldwide are seeking to enhance their sustainable mobility by reducing individual
motorized transportation. While intermodal mobility–combining multiple transportation …
motorized transportation. While intermodal mobility–combining multiple transportation …
Short-Term Demand Prediction of Shared Bikes Based on LSTM Network
Y Shi, L Zhang, S Lu, Q Liu - Electronics, 2023 - mdpi.com
Shared transportation is widely used in current urban traffic. As a representative mode of
transport, shared bikes have strong mobility and timeliness, so it is particularly critical to …
transport, shared bikes have strong mobility and timeliness, so it is particularly critical to …