A short-term traffic flow prediction model based on an improved gate recurrent unit neural network
W Shu, K Cai, NN Xiong - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the increasing demand for intelligent transportation systems, short-term traffic flow
prediction has become an important research direction. The memory unit of a Long Short …
prediction has become an important research direction. The memory unit of a Long Short …
Crowd flow prediction for irregular regions with semantic graph attention network
It is essential to predict crowd flow precisely in a city, which is practically partitioned into
irregular regions based on road networks and functionality. However, prior works mainly …
irregular regions based on road networks and functionality. However, prior works mainly …
Spatial–temporal convolutional model for urban crowd density prediction based on mobile-phone signaling data
Urban crowd density prediction is essential for transport demand management and public
safety monitoring. Existing studies for crowd density prediction only focus on a few transport …
safety monitoring. Existing studies for crowd density prediction only focus on a few transport …
[HTML][HTML] A novel approach for spatially controllable high-frequency forecasts of park visitation integrating attention-based deep learning methods and location-based …
M Lu, Q Xie - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Forecasting tourism volume can provide helpful information support for decision-making in
managing tourist attractions. However, existing studies have focused on the long-term and …
managing tourist attractions. However, existing studies have focused on the long-term and …
Crowd flow prediction for social internet-of-things systems based on the mobile network big data
Accurate crowd flow prediction has gained increasing importance for the development of
social Internet-of-Things (IoT) systems. In this article, we provide an efficient crowd flow …
social Internet-of-Things (IoT) systems. In this article, we provide an efficient crowd flow …
WiCrowd: counting the directional crowd with a single wireless link
Wi-Fi-based crowd counting is predominant because of its noninvasive and ubiquitous
advantages. However, the existing Wi-Fi-based crowd counting systems have the constraint …
advantages. However, the existing Wi-Fi-based crowd counting systems have the constraint …
[HTML][HTML] The Time Machine in Columnar NoSQL Databases: The Case of Apache HBase
CP Tsai, CW Chang, HC Hsiao, H Shen - Future Internet, 2022 - mdpi.com
Not Only SQL (NoSQL) is a critical technology that is scalable and provides flexible
schemas, thereby complementing existing relational database technologies. Although …
schemas, thereby complementing existing relational database technologies. Although …
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction
Y Luo, J Zheng, X Wang, Y Tao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Urban rail transit (URT) is an essential part of urban public transportation. Accurate ridership
prediction is increasingly important for the safe operation and efficient management of URT …
prediction is increasingly important for the safe operation and efficient management of URT …
Joint order dispatch and repositioning for urban vehicle sharing systems via robust optimization
Nowadays, the urban vehicle sharing (UVS) service offered by online platforms such as
Car2Go and Zipcar has become an attractive choice for short-term mobility demands of city …
Car2Go and Zipcar has become an attractive choice for short-term mobility demands of city …
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-
based applications like ride-sharing. However, existing ST models often require region …
based applications like ride-sharing. However, existing ST models often require region …