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Syed Imran Ahmed, Ramesh Rudra, Pradeep Goel, Arezoo Amili, Trevor Dickinson, Kamal Singh and Alamgir Khan
The focus of this study is to investigate the effects of climate change on the hydrologic regimes in Ontario, Canada. The variables include total precipitation, the form of precipitation (snowfall and rainfall), and the temperature during winter. The win...
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Ognjen Bonacci, Bojan Ðurin, Tanja Roje Bonacci and Duje Bonacci
The air temperature trends measured at the central meteorological station Vara?din and the water temperature measured at the Botovo station on the Drava River were analyzed from 1 January 1969 to 31 December 2021. Analyses were performed for three differ...
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Wei Li, Douglas Houston, Marlon G. Boarnet, Han Park
By analyzing seven-day travel logs from Los Angeles during 2011?2013, we contribute to the understanding of intrapersonal day-to-day travel variability (IDTV) in relation to socio-demographic and land-use characteristics and the implication of travel sur...
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Hongbo Ye, Feng Xiao, Hai Yang
Pág. 679 - 699
This paper examines existing day-to-day models based on a virtual day-to-day route choice experiment using the latest mobile internet techniques. With the realized day-to-day path flows and path travel times in the experiment, we calibrate several well-d...
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Phathinan Thaithatkul, Toru Seo, Takahiko Kusakabe, Yasuo Asakura
Pág. 29 - 41
Smart ridesharing system (SRS) is a ridesharing system integrated with information and communication technology. We formulate a passenger matching problem by considering user preference in SRS. This study aims to investigate day-to-day dynamics and chara...
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Anselmo Ramalho Pitombeira-Neto, Carlos Felipe Grangeiro Loureiro and Luis Eduardo Carvalho
Estimation of origin?destination (OD) demand plays a key role in successful transportation studies. In this paper, we consider the estimation of time-varying day-to-day OD flows given data on traffic volumes in a transportation network for a sequence of ...
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Anselmo Ramalho Pitombeira-Neto, Carlos Felipe Grangeiro Loureiro and Luis Eduardo Carvalho
Estimation of origin–destination (OD) demand plays a key role in successful transportation studies. In this paper, we consider the estimation of time-varying day-to-day OD flows given data on traffic volumes in a transportation network for a sequen...
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Ren-Yong Guo, Hai Yang, Hai-Jun Huang, Xinwei Li
Pág. 551 - 570
We extend the proportional swap system by Smith (1984a) and the network tatonnement process by Friesz et al. (1994) to formulate the day-to-day evolution of departure time choice under bounded rationality in the bottleneck model. It is shown that the sta...
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Paolo Delle Site
Pág. 1009 - 1016
Stochastic User Equilibrium (SUE) has been proposed to overcome the limitations of the perfect knowledge assumption of classical Wardrop?s user equilibrium. Imperfect knowledge of the network and the associated heterogeneity in the perception of route tr...
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José Valentim Machado Vicente,Gustavo Silva Araujo,Paula Baião Fisher de Castro,Felipe Noronha Tavares
Pág. 41 - 66
The aim of this study is to examine whether investors who trade daily but at different times have distinct perceptions about the risk of an asset. In order to capture the uncertainty faced by these investors, we define the volatility perceived by investo...
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Leszek Labedzki
Pág. 1 - 14
In the paper, the verification of forecasts of precipitation conditions measured by the standardized precipitation index (SPI) is presented. For the verification of categorical forecasts, a contingency table was used. Standard verification measures were ...
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Leszek Labedzki
In the paper, the verification of forecasts of precipitation conditions measured by the standardized precipitation index (SPI) is presented. For the verification of categorical forecasts, a contingency table was used. Standard verification measures were ...
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Ismael Orozco, Félix Francés and Jesús Mora
The success of hydrological modeling of a high mountain basin depends in most case on the accurate quantification of the snowmelt. However, mathematically modeling snowmelt is not a simple task due to, on one hand, the high number of variables that can b...
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Regiane Cristina de Oliveira, Pedro Hiroshi Passos Ikuno, Dirceu Pratissoli, José Romário de Carvalho, William Wyatt Hoback and Bruno Alexis Zachrisson Salamina
Brazil is one of the largest producers of pulses globally, and soybean ranks highly in terms of production. However, pests increase crop production costs and affect oilseed production and quality. Pests are primarily controlled by chemicals, leading to c...
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Jean-Louis Le Mouël, Fernando Lopes, Vincent Courtillot, Dominique Gibert and Jean-Baptiste Boulé
In the report he submitted to the Académie des Sciences, Poisson imagined a set of concentric spheres at the origin of Earth?s magnetic field. It may come as a surprise to many that Poisson as well as Gauss both considered the magnetic field to be consta...
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Ziyang Hao, Jingchao Xie, Xiaojing Zhang and Jiaping Liu
This study provides a reference for estimating the building envelope thermal performance at the initial stage of design for nearly zero-energy buildings in different climate zones. A simplified model of heat load prediction, which combines the quasi-stea...
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Silvia Golia, Luigi Grossi and Matteo Pelagatti
In this paper we assess how intra-day electricity prices can improve the prediction of zonal day-ahead wholesale electricity prices in Italy. We consider linear autoregressive models with exogenous variables (ARX) with and without interactions among pred...
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Claudio Meneguzzer
Understanding the many facets of repeated route choice behavior in traffic networks is essential for obtaining accurate flow forecasts and enhancing the effectiveness of traffic management measures. This paper presents a model of the day-to-day evolution...
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George Stamatellos and Tassos Stamatelos
In spite of the significant developments in machine learning methods employed for short-term electrical load forecasting on a Country level, the complexity and diversity of the problem points to the need for investing more research effort in the selectio...
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Khiem Van Mai, Terhi K. Laurila, Lam Phuc Hoang, Tien Duc Du, Antti Mäkelä and Sami Kiesiläinen
Within a meteorological capacity building project in Vietnam, lightning location data and manual (human-observed) thunderstorm day observations were analyzed for the period 2015?2019. The lightning location dataset, based on the global lightning detectio...
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