Results 91 to 100 of about 3,215,253 (309)
Accurate and real-time passenger flow forecasting is of significant importance for the operation of urban rail transit (URT). However, the chaotic and nonlinear nature of short-term passenger flow limits the predictive performance of traditional time ...
Jing Wu, Jie Xu, Dengyu Xu
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ABSTRACT Background Loneliness among young people is a growing concern, and life transitions can create significant upheaval in social networks. The scale of these changes and their association with loneliness remains underexplored. Objective This study examined retrospectively recalled changes in network composition and structure across the transition
Hannah Rachael Slack +8 more
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Elevator dynamic monitoring and early warning system based on machine learning algorithm
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
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Multi-scale Fusion and Dynamic Adaptive Graph Bus Passenger Flow Prediction Model [PDF]
Bus passenger flow prediction is a crucial issue of public transportation planning and management. Though spatio-temporal graph convolution has shown promising results for subway passenger flow prediction, the existing spatial modeling methods based on ...
GUO Xiangyu, PNEG Lilan, LI Chongshou, LI Tianrui
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ABSTRACT We introduce EA‐MD‐QD, a new publicly available dataset comprising 1136 macroeconomic time series for the euro area (EA) and its ten largest member countries observed at monthly or quarterly frequency. Since January 2024, EA‐MD‐QD has been updated monthly and continuously revised, providing a valuable resource for policy analysis in the EA ...
Matteo Barigozzi +2 more
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Prediction of Passenger Flow in Urban Rail Transit Based on Big Data Analysis and Deep Learning
Passenger flow prediction is the key to operation efficiency and safety of urban rail transit (URT). This paper combines the deep learning (DL) theory and support vector machine (SVM) into the DL-SVM model for URT passenger flow prediction.
Kaer Zhu +4 more
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Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model
To better utilise the service capacity of the limited facilities of a metro station, as well as ensure safety and transport efficiency during peak hours, a large passenger flow control plan is studied through theoretical analysis and numerical simulation.
Yimin Wang +4 more
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Fritz Scheffer Under National Socialism: Assessing His Political Involvement
ABSTRACT Aims This article examines the role of soil scientist Fritz Scheffer (1899–1979) under National Socialism and offers a critical assessment of his scientific, institutional, and political positioning between 1933 and 1945. It asks how Scheffer shaped his career within the tension between disciplinary specialization, political expectations, and ...
Jan Arend
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Urban Rail Transit (URT), as an important part of the modern urban transportation system, undertakes a large number of daily commuter passenger flow transportation needs. In this context, the in-depth analysis of influential factors of URT passenger flow
Minlei Qian, Lin Cheng, Jianan Sun
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