An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
[HTML][HTML] AI-based neural network models for bus passenger demand forecasting using smart card data
Accurate short-term forecasting of public transport demand is essential for the operation of
on-demand public transport. Knowing where and when future demands for travel are …
on-demand public transport. Knowing where and when future demands for travel are …
An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
S Lv, K Wang, H Yang, P Wang - Expert Systems with Applications, 2024 - Elsevier
An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …
for urban metro operation and management. However, there are still lacking targeted …
Estimation and prediction of the OD matrix in uncongested urban road network based on traffic flows using deep learning
T Pamuła, R Żochowska - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
In this article, we propose a new method for OD (Origin–Destination) matrix prediction
based on traffic data using deep learning. The input values of the developed model were …
based on traffic data using deep learning. The input values of the developed model were …
Flexible train capacity allocation for an overcrowded metro line: A new passenger flow control approach
J Shi, T Qin, L Yang, X Xiao, J Guo, Y Shen… - … Research Part C …, 2022 - Elsevier
Metro lines of some mega cities usually suffer from extreme congestions in peak hours,
leading to serious operation risks. To relieve the extreme saturation for overcrowded metro …
leading to serious operation risks. To relieve the extreme saturation for overcrowded metro …
Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use
Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …
as traffic management and transport planning. Time-series data may contain temporal and …
Forecasting short-term passenger flow of subway stations based on the temporal pattern attention mechanism and the long short-term memory network
L Wei, D Guo, Z Chen, J Yang, T Feng - ISPRS International Journal of …, 2023 - mdpi.com
Rational use of urban underground space (UUS) and public transportation transfer
underground can solve urban traffic problems. Accurate short-term prediction of passenger …
underground can solve urban traffic problems. Accurate short-term prediction of passenger …
[HTML][HTML] Understanding the Resilience of Urban Rail Transit: Concepts, Reviews and Trends
Y Wei, X Yang, X Xiao, Z Ma, T Zhu, F Dou, J Wu… - Engineering, 2024 - Elsevier
As the scale of urban rail transit (URT) networks expands, the study of URT resilience is
essential for safe and efficient operations. This paper presents a comprehensive review of …
essential for safe and efficient operations. This paper presents a comprehensive review of …
Completion and augmentation-based spatiotemporal deep learning approach for short-term metro origin-destination matrix prediction under limited observable data
Accurate prediction of short-term origin-destination (OD) matrix is crucial for operations in
metro systems. Recently, some deep learning-based models have been proposed for OD …
metro systems. Recently, some deep learning-based models have been proposed for OD …
Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks
R Żochowska, T Pamuła - Remote Sensing, 2024 - mdpi.com
Information about spatial distribution (OD flows) is a key element in traffic management
systems in urban transport networks that enables efficient traffic control and decisions to …
systems in urban transport networks that enables efficient traffic control and decisions to …