Results 191 to 200 of about 44,587 (236)

Resilience assessment of urban rail transit stations considering disturbance and time‐varying passenger flow

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 12, Page 1627-1651, 9 May 2025.
Abstract Unlike most urban rail transit (URT) resilience studies on URT lines or networks under major disturbances, this paper focuses on the resilience assessment of URT stations under high‐frequency daily disturbances with minor impacts. A resilience assessment metric with different resilience levels is proposed, which is calculated based on multiple
Xiaowei Liu   +5 more
wiley   +1 more source

Navigating Disparities in Dental Health-A Transit-Based Investigation of Access to Dental Care in Virginia. [PDF]

open access: yesCommunity Dent Oral Epidemiol
Kim J   +6 more
europepmc   +1 more source

Integrated column generation for volunteer‐based delivery assignment and route optimization

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract This study develops an integrated delivery assignment and route planning strategy for food banking operations, considering food supply and demand constraints, food item restrictions, and vehicle capacity constraints. A mixed‐integer linear model is formulated to maximize the total demand served and minimize the total travel cost imposed on ...
Asya Atik   +3 more
wiley   +1 more source

Crack segmentation‐guided measurement with lightweight distillation network on edge device

open access: yesComputer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Pavement crack measurement (PCM) is essential for automated, precise road condition assessment. However, balancing speed and accuracy on edge artificial intelligence (AI) mobile devices remains challenging. This paper proposes a real‐time PCM framework for edge deployment, incorporating a lightweight distillation network and a surface feature ...
Jianqi Zhang   +7 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

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