How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications
The information-rich vessel movement data provided by the Automatic Identification System
(AIS) has gained much popularity over the past decade, during which the employment of …
(AIS) has gained much popularity over the past decade, during which the employment of …
Visual analytics in urban computing: An overview
Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …
building a smarter city through urban computing. However, due to heterogeneity, high …
Clustering smart card data for urban mobility analysis
Smart card data gathered by automated fare collection (AFC) systems are valuable
resources for studying urban mobility. In this paper, we propose two approaches to cluster …
resources for studying urban mobility. In this paper, we propose two approaches to cluster …
Observer-based event-triggered adaptive platooning control for autonomous vehicles with motion uncertainties
Based on the back-step** technique, this paper designs an observer-based event-
triggered adaptive platooning control algorithm for autonomous vehicles (AVs) with motion …
triggered adaptive platooning control algorithm for autonomous vehicles (AVs) with motion …
Modelling the competitiveness of the ports along the Maritime Silk Road with big data
Abstract China's 21st Century Maritime Silk Road trade initiative includes investment in
international port infrastructure. Comprehensive analysis of port competitiveness is of great …
international port infrastructure. Comprehensive analysis of port competitiveness is of great …
Deep mobile traffic forecast and complementary base station clustering for C-RAN optimization
The increasingly growing data traffic has posed great challenges for mobile operators to
increase their data processing capacity, which incurs a significant energy consumption and …
increase their data processing capacity, which incurs a significant energy consumption and …
Vessel schedule recovery in liner ship**: Modeling alternative recovery options
Disruption occurrences in liner ship** operations affect schedule reliability and may
increase the total cost of delivering cargoes at ports. If a vessel experiences disruption …
increase the total cost of delivering cargoes at ports. If a vessel experiences disruption …
A deep learning approach for port congestion estimation and prediction
This study proposes high-frequency container port congestion measures based on
Automatic Identification System (AIS) data. Vessel movement information of 3,957 container …
Automatic Identification System (AIS) data. Vessel movement information of 3,957 container …
Maritime traffic probabilistic forecasting based on vessels' waterway patterns and motion behaviors
Z **ao, L Ponnambalam, X Fu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Maritime traffic prediction is critical for ocean transportation safety management. In this
paper, we propose a novel knowledge assisted methodology for maritime traffic forecasting …
paper, we propose a novel knowledge assisted methodology for maritime traffic forecasting …
The emergence of visual crowdsensing: Challenges and opportunities
Visual crowdsensing (VCS), which leverages built-in cameras of smart devices to attain
informative and comprehensive sensing of interesting targets, has become a predominant …
informative and comprehensive sensing of interesting targets, has become a predominant …