194   Artículos

 
en línea
Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib    
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow... ver más
Revista: Water    Formato: Electrónico

 
en línea
Shuai Lu, Haibo Chen and Yilong Teng    
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Juan Nunez-Portillo, Alfonso Valenzuela, Antonio Franco and Damián Rivas    
This paper presents an approach for integrating uncertainty information in air traffic flow management at the tactical phase. In particular, probabilistic methodologies to predict sector demand and sector congestion under adverse weather in a time horizo... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu    
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Yongen Lin, Dagang Wang, Tao Jiang and Aiqing Kang    
Reliable streamflow forecasting is a determining factor for water resource planning and flood control. To better understand the strengths and weaknesses of newly proposed methods in streamflow forecasting and facilitate comparisons of different research ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Yiyuan Xu, Jianhui Zhao, Biao Wan, Jinhua Cai and Jun Wan    
Flood forecasting helps anticipate floods and evacuate people, but due to the access of a large number of data acquisition devices, the explosive growth of multidimensional data and the increasingly demanding prediction accuracy, classical parameter mode... ver más
Revista: Water    Formato: Electrónico

 
en línea
Zitao Du, Wenbo Yang, Yuna Yin, Xinwei Ma and Jiacheng Gong    
When new rail stations or lines are planned, long-term planning for decades to come is required. The short-term passenger flow prediction is no longer of practical significance, as it only takes a few factors that affect passenger flow into consideration... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Min Yue and Shuhong Ma    
A crucial component of multimodal transportation networks and long-distance travel chains is the forecasting of transfer passenger flow between integrated hubs in urban agglomerations, particularly during periods of high passenger flow or unusual weather... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira    
Traffic operation efficiency is greatly impacted by the increase in travel demand and the increase in vehicle ownership. The continued increase in traffic demand has rendered the importance of controlling traffic, especially at intersections. In general,... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Petros Brimos, Areti Karamanou, Evangelos Kalampokis and Konstantinos Tarabanis    
Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown grea... ver más
Revista: Information    Formato: Electrónico

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