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 …
Context-aware machine learning for intelligent transportation systems: A survey
Context awareness adds intelligence to and enriches data for applications, services and
systems while enabling underlying algorithms to sense dynamic changes in incoming data …
systems while enabling underlying algorithms to sense dynamic changes in incoming data …
Joint demand prediction for multimodal systems: A multi-task multi-relational spatiotemporal graph neural network approach
Dynamic demand prediction is crucial for the efficient operation and management of urban
transportation systems. Extensive research has been conducted on single-mode demand …
transportation systems. Extensive research has been conducted on single-mode demand …
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 …
[HTML][HTML] Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles
This paper deals with the train scheduling problem for metro networks taking into account
time-dependent passenger origin–destination demands and train speed profiles. The aim is …
time-dependent passenger origin–destination demands and train speed profiles. The aim is …
Decomposition and approximate dynamic programming approach to optimization of train timetable and skip-stop plan for metro networks
Carefully coordinating train timetables of different operating lines can help reduce transfer
delays, which in turn reduces station crowding and improves overall service quality. This …
delays, which in turn reduces station crowding and improves overall service quality. This …
Deep learning for short-term origin–destination passenger flow prediction under partial observability in urban railway systems
W Jiang, Z Ma, HN Koutsopoulos - Neural Computing and Applications, 2022 - Springer
Short-term origin–destination (OD) flow prediction is vital for operations planning, control,
and management in urban railway systems. While the entry and exit passenger demand …
and management in urban railway systems. While the entry and exit passenger demand …
Estimating intercity heavy truck mobility flows using the deep gravity framework
Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban
planning, transportation management and logistics operations. The inaccessibility of big …
planning, transportation management and logistics operations. The inaccessibility of big …
Deep demand prediction: An enhanced conformer model with cold-start adaptation for origin–destination ride-hailing demand prediction
In intelligent transportation systems, one key challenge for managing ride-hailing services is
the balancing of traffic supply and demand while meeting passenger needs within vehicle …
the balancing of traffic supply and demand while meeting passenger needs within vehicle …
DEASeq2Seq: An attention based sequence to sequence model for short-term metro passenger flow prediction within decomposition-ensemble strategy
H Huang, J Mao, W Lu, G Hu, L Liu - Transportation Research Part C …, 2023 - Elsevier
Short-term passenger flow prediction has practical significance for metro management and
operation. However, the complex nonlinear and non-stationary characteristics make it …
operation. However, the complex nonlinear and non-stationary characteristics make it …