Results 191 to 200 of about 44,587 (236)
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]
Kim J+6 more
europepmc +1 more source
Integrated column generation for volunteer‐based delivery assignment and route optimization
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
Field Evaluation of a Mobile App for Assisting Blind and Visually Impaired Travelers to Find Bus Stops. [PDF]
Pundlik S+3 more
europepmc +1 more source
Crack segmentation‐guided measurement with lightweight distillation network on edge device
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
Signals, tracks, and trams: public transport signal priority impact on job accessibility over time. [PDF]
Niedzielski MA, Goliszek S, Górka A.
europepmc +1 more source
Origin–destination prediction via knowledge‐enhanced hybrid learning
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
Does bike-sharing reduce traffic congestion? Evidence from three mega-cities in China. [PDF]
Xu X, Zuo W.
europepmc +1 more source
Transit-Oriented Developments Make a Difference in Job Location [PDF]
Nelson, Arthur C.
core +1 more source
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