Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM
Traffic flow prediction is important for urban planning and traffic congestion alleviation as
well as for intelligent traffic management systems. Due to the periodic characteristics and …
well as for intelligent traffic management systems. Due to the periodic characteristics and …
Fine-grained vessel traffic flow prediction with a spatio-temporal multigraph convolutional network
The accurate and robust prediction of vessel traffic flow is gaining importance in maritime
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
A Review on Motion Prediction for Intelligent Ship Navigation
In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …
accurately modeling and predicting the dynamic environment and motion status of ships has …
[HTML][HTML] Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application
values in the maritime industry. However, using such big data from the Automatic …
values in the maritime industry. However, using such big data from the Automatic …
Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
Y Peng, W Xiang - Physica A: Statistical Mechanics and its Applications, 2020 - Elsevier
Accurate traffic volume prediction can help traffic managers to control traffic well, and can
also provide convenient travel routes for passengers. In order to better describe the non …
also provide convenient travel routes for passengers. In order to better describe the non …
[HTML][HTML] A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping
Accurate vessel traffic flow (VTF) prediction can enhance navigation safety and economic
efficiency. To address the challenge of the inherently complex and dynamic growth of the …
efficiency. To address the challenge of the inherently complex and dynamic growth of the …
PREDICTION OF VEHICULAR TRAFFIC FLOW USING LEVENBERG-MARQUARDT ARTIFICIAL NEURAL NETWORK MODEL: ITALY ROAD TRANSPORTATION …
In the last decades, the Italian road transport system has been characterized by severe and
consistent traffic congestion and in particular Rome is one of the Italian cities most affected …
consistent traffic congestion and in particular Rome is one of the Italian cities most affected …
Automatic identification system in accelerating decarbonization of maritime transportation: The state-of-the-art and opportunities
This paper presents a review of the state-of-the-art Automatic Identification System (AIS)
data-driven studies and applications in effort to control the carbon footprint from maritime …
data-driven studies and applications in effort to control the carbon footprint from maritime …
Automatic identification system (AIS) data supported ship trajectory prediction and analysis via a deep learning model
Automatic Identification System (AIS) data-supported ship trajectory analysis consistently
helps maritime regulations and practitioners make reasonable traffic controlling and …
helps maritime regulations and practitioners make reasonable traffic controlling and …
Vessel Navigation Behavior Analysis and Multiple‐Trajectory Prediction Model Based on AIS Data
H Ma, Y Zuo, T Li - Journal of advanced transportation, 2022 - Wiley Online Library
With the increasing application and utility of automatic identification systems (AISs), large
volumes of AIS data are collected to record vessel navigation. In recent years, the prediction …
volumes of AIS data are collected to record vessel navigation. In recent years, the prediction …