Results 301 to 310 of about 311,998 (347)

A universal geography neural network for mobility flow prediction in planning scenarios

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract This study primarily focuses on generating mobility flow in regions and cities, which plays an important role in urban planning and management. The majority of existing mobility flow models, including conventional statistical models and deep learning‐based models, are heavily dependent on historical data to predict future mobility flows.
Jifu Guo   +6 more
wiley   +1 more source

Origin–destination prediction via knowledge‐enhanced hybrid learning

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract This paper proposes a novel origin–destination (OD) prediction (ODP) model, namely, knowledge‐enhanced hybrid spatial–temporal graph neural networks (KE‐H‐GNN). KE‐H‐GNN integrates a deep learning predictive model with traffic engineering domain knowledge and a multi‐linear regression (MLR) module for incorporating external factors. Leveraging
Zeren Xing   +5 more
wiley   +1 more source

Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Passenger flow control and bus bridging are used widely in the operations and management of urban rail transit to relieve the pressure of urban rail transit passenger flow, especially in peak periods. This paper presents an optimization method based on time‐varying running time in links.
Qingqing Zhao   +6 more
wiley   +1 more source

Multi‐task graph‐based model for metro flow prediction under dynamic urban conditions

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Accurately predicting metro commuter flows under changing urban conditions is essential for guiding infrastructure investments and service planning. However, existing methods show limited adaptability to evolving urban conditions. To address this, we propose an adaptive graph sharing embedding cascade interaction network (AGSECIN), which ...
Lu Zhao   +7 more
wiley   +1 more source

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