Results 71 to 80 of about 16,206 (266)
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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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
doaj
Mutual exclusivity and co‐occurrence of oncogenic mutations reflect functional antagonism or dependence and may inform therapeutic strategies. However, most studies overlook variant‐level patterns. In this comprehensive, cross‐cohort analysis of BRAF, KRAS, and EGFR mutation subtypes, the most significant mutual exclusivity pairs overlapped with ...
Freya Vaeyens +14 more
wiley +1 more source
Implementing preferential policies for bus transfers is an important measure for promoting the development of public transportation. Although public transportation extends the travel time of passengers, the preferential policies reduce the travel costs ...
Liu Jialin, Gao Yue'er, Qi Ruizhen
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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
wiley +1 more source
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 This article presents a decade of research on Open Data Business Models (ODBM), aiming to identify conceptual gaps, categorize thematic trends, and propose an integrative framework. This paper, based on a systematic literature review (SLR) of 60 peer‐reviewed studies, develops a coherent framework that explains how ODBMs are formed, adapted ...
Saeed Rouhani +3 more
wiley +1 more source
Reasons for Low Passenger Flow of City Railway Renovated from Existing Lines and Countermeasures
[Objective] Recently, the passenger flow in the city railway renovated from existing lines is generally low, it is necessary to systematically analyze the reasons and put forward corresponding countermeasures to improve the operational efficiency and ...
XU Xingfang +3 more
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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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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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