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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...
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Zhuhua Liao, Haokai Huang, Yijiang Zhao, Yizhi Liu and Guoqiang Zhang
Urban planning and function layout have important implications for the journeys of a large percentage of commuters, which often make up the majority of daily traffic in many cities. Therefore, the analysis and forecast of traffic flow among urban functio...
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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...
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Keqing Li, Changyong Liang, Wenxing Lu, Chu Li, Shuping Zhao and Binyou Wang
The accurate prediction of tourist flow is essential to appropriately prepare tourist attractions and inform the decisions of tourism companies. However, tourist flow in scenic spots is a dynamic trend with daily changes, and specialized methods are nece...
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Yirong Zhou, Hao Chen, Jun Li, Ye Wu, Jiangjiang Wu and Luo Chen
High crowd mobility is a characteristic of transportation hubs such as metro/bus/bike stations in cities worldwide. Forecasting the crowd flow for such places, known as station-level crowd flow forecast (SLCFF) in this paper, would have many benefits, fo...
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Mayra Codo and Miguel A. Rico-Ramirez
Radar rainfall forecasting is of major importance to predict flows in the sewer system to enhance early flood warning systems in urban areas. In this context, reducing radar rainfall estimation uncertainties can improve rainfall forecasts. This study uti...
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Jui-Yi Ho and Kwan Tun Lee
The dynamic relationship between watershed characteristics and rainfall-runoff has been widely studied in recent decades. Since watershed rainfall-runoff is a non-stationary process, most deterministic flood forecasting approaches are ineffective without...
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Lisbet Sneftrup Hansen, Morten Borup, Arne Møller and Peter Steen Mikkelsen
There is a growing requirement to generate more precise model simulations and forecasts of flows in urban drainage systems in both offline and online situations. Data assimilation tools are hence needed to make it possible to include system measurements ...
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Ching-Hsue Cheng, Ming-Chi Tsai and Yi-Chen Cheng
Public transportation systems are an effective way to reduce traffic congestion, air pollution, and energy consumption. Today, smartcard technology is used to shorten the time spent boarding/exiting buses and other types of public transportation; however...
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Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy...
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Lingxiang Wei, Dongjun Guo, Zhilong Chen, Jincheng Yang and Tianliu Feng
Rational use of urban underground space (UUS) and public transportation transfer underground can solve urban traffic problems. Accurate short-term prediction of passenger flow can ensure the efficient, safe, and comfortable operation of subway stations. ...
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Richard B. Griffin, B. Wynne Griffin, K. W. VanVuren
For most companies to be financially successful, it is critically important that operating cash flows be effectively managed. The Cash Conversion Cycle (CCC) is a traditional tool that companies use to measure the average time required for operating cash...
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O. V. Shvets
Pág. 175 - 185
The task of this article is to make a forecast of the container flow (which is being mastered by intermodal transport operator) in order to determine in future such moment when the purchase of new transport unit will be most cost-effective. Here the anal...
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Jonas W. Pedersen, Nadia S. V. Lund, Morten Borup, Roland Löwe, Troels S. Poulsen, Peter S. Mikkelsen and Morten Grum
High quality on-line flow forecasts are useful for real-time operation of urban drainage systems and wastewater treatment plants. This requires computationally efficient models, which are continuously updated with observed data to provide good initial co...
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Jonas W. Pedersen, Nadia S. V. Lund, Morten Borup, Roland Löwe, Troels S. Poulsen, Peter S. Mikkelsen and Morten Grum
Pág. 1 - 15
High quality on-line flow forecasts are useful for real-time operation of urban drainage systems and wastewater treatment plants. This requires computationally efficient models, which are continuously updated with observed data to provide good initial co...
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Brent Harrison and Roger Bales
Water-supply outlooks that predict the April through July (snowmelt) runoff and assist in estimating the total water-year runoff, are very important to users that rely on the major contributing watersheds of the Colorado River. This study reviewed the sk...
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Ganesh R. Ghimire, Sanjib Sharma, Jeeban Panthi, Rocky Talchabhadel, Binod Parajuli, Piyush Dahal and Rupesh Baniya
Improving decision-making in various areas of water policy and management (e.g., flood and drought preparedness, reservoir operation and hydropower generation) requires skillful streamflow forecasts. Despite the recent advances in hydrometeorological pre...
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Jeba Nadarajan and Rathi Sivanraj
Periodic traffic prediction and analysis is essential for urbanisation and intelligent transportation systems (ITS). However, traffic prediction is challenging due to the nonlinear flow of traffic and its interdependencies on spatiotemporal features. Tra...
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Stanford Gibson, Leonardo Zandonadi Moura, Cameron Ackerman, Nikolas Ortman, Renato Amorim, Ian Floyd, Moosub Eom, Calvin Creech and Alejandro Sánchez
The Santa Barbara post-wildfire debris flows and the Brumadinho tailing-dam failure were two of the most catastrophic flood events of the late 2010s. Both these events carried so much solid-phase material, that classic, clear-water, flood risk approaches...
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Ling Li, Zhengwei He, Sheng Chen, Xiongfa Mai, Asi Zhang, Baoqing Hu, Zhi Li and Xinhua Tong
Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications. This paper proposes a subpixel-based QPF algorithm using a pyramid Lucas?Kanade opt...
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