Results 101 to 110 of about 16,206 (266)

Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. [PDF]

Appl Intell (Dordr), 2023
Wu JL, Lu M, Wang CY.
europepmc   +1 more source

Passenger flow prediction : Finding and developing a sustainable machine learning model for airport passenger flow prediction

, 2023
There are many outdated routines and processes in today's aviation industry that major airlines lack the motivation to update. While this may not hold any direct security concerns, it creates bottlenecks at checks and high salary costs for otiose airport personnel. This study aims to together with the company Objective Solutions examine the possibility
Haglund, Tomas, Jonsson, Oskar
openaire   +1 more source

Resource reallocation across successive systemic innovations: How Rolls‐Royce shaped the evolution of the turbojet, turboprop, and turbofan

Strategic Management Journal, EarlyView.
Abstract Research Summary Despite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations.
Gino Cattani, Mariano Mastrogiorgio, Giuseppe Carignani   +2 more
wiley   +1 more source

A Calculation Method of Passenger Flow Distribution in Large-Scale Subway Network Based on Passenger-Train Matching Probability. [PDF]

Entropy (Basel), 2022
Su G, Si B, Zhi K, Li H.
europepmc   +1 more source

Fast learning and sustained exploration: The role of timely performance feedback

Strategic Management Journal, EarlyView.
Abstract Research Summary How should organizations manage learning dynamics? Strategy theories suggest “more‐is‐better”—fast, frictionless sharing enhances performance—while organizational learning theory warns that “less‐is‐more,” as fast learning causes premature convergence.
Jerker Denrell, Michael Christensen, Thorbjørn Knudsen, Chengwei Liu   +3 more
wiley   +1 more source

Passenger Flow Simulation Model for Urban Rail Transit Stations Based on Multipotential Fields in Three-Dimensional Space

Journal of Advanced Transportation
The spatial and temporal rules governing passenger flow in urban rail transit (URT) stations are complex, and simulation modeling and analysis of passenger flow distribution in stations are very important in regard to scientifically organizing and ...
Lianbo Deng, Jingshuang Li, Jingen Fu, Jiayi Liu, Xiao Yi   +4 more
doaj   +1 more source

A Spatiotemporal Convolutional Neural Network Model Based on Dual Attention Mechanism for Passenger Flow Prediction

Mathematics
Establishing a high-precision passenger flow prediction model is a critical and complex task for the optimization of urban rail transit systems. With the development of artificial intelligence technology, the data-driven technology has been widely ...
Jinlong Li, Haoran Chen, Qiuzi Lu, Xi Wang, Haifeng Song, Lunming Qin   +5 more
doaj   +1 more source

Effect of Double Annealing on the Microstructure and Mechanical Properties of a Medium Manganese Steel

steel research international, EarlyView.
A double intercritical annealing strategy is proposed to tailor the multiphase microstructure and mechanical response of a medium‐Mn steel. The treatment produces an ultrafine mixture of ferrite, martensite and multiple austenite populations with graded thermal and mechanical stability, formed through austenite reversion and controlled retransformation.
Mattia Franceschi, Jose A. Jimenez, Carlos Garcia‐Mateo, Radhakanta Rana   +3 more
wiley   +1 more source

Optimization passenger transport on basic organizations of uniform suburban passenger flow

Journal of Mechanical Engineering and Transport
The purpose article is improveefficiency of suburban passenger transportation based on organization of suburban passenger traffic. It was established that suburban passenger flow urban agglomerations consistsof following aggregated groups (segments): workers with variable work schedules, office workers, students, other passengers, while the total ...
Nataliia Chernetskaya-Beletskaya, Ihor Baranov, Mariia Miroshnykova, Svitlana Berezhna   +3 more
openaire   +1 more source

Barriers to Steel Decarbonization

steel research international, EarlyView.
Main identified barriers to steel decarbonization Carbon dioxide (CO2) emissions are a leading contributor to global climate change, necessitating urgent mitigation strategies. While various metrics—such as total national emissions, per‐capita output, and historical contributions—define responsibility, determining accountability remains complex ...
Pasquale Cavaliere
wiley   +1 more source