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Péter Marjai, Bence Szabari and Attila Kiss
Graphs can be found in almost every part of modern life: social networks, road networks, biology, and so on. Finding the most important node is a vital issue. Up to this date, numerous centrality measures were proposed to address this problem; however, e...
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Jérémy Roos, Gérald Gavin, Stéphane Bonnevay
Pág. 53 - 61
We propose an approach to forecast the short-term passenger flows of the urban rail network of Paris. Based on dynamic Bayesian networks, this approach is designed to perform even in case of incomplete data. The structure of the model is built so that th...
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Younes Delhoum, Rachid Belaroussi, Francis Dupin and Mahdi Zargayouna
For too long, many refined transportation models have focused solely on private and public transportation, assuming that bicycles only require simple models, such as bird flight distance or trips on horizontal tracks at a constant speed. This paper aims ...
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Jérémy Bernard, Erwan Bocher, Gwendall Petit and Sylvain Palominos
The sky view factor (SVF) has an important role in the analysis of the urban micro-climate. A new vector-based SVF calculation tool was implemented in a free and open source Geographic Information System named OrbisGIS. Its accuracy and computational per...
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Omar Dib, Marie-Ange Manier, Laurent Moalic, Alexandre Caminada
Pág. 134 - 143
Route planning in urban public transport systems constitutes a common decision problem faced by travelers. Therefore, building Advanced Traveler Information Systems (ATIS) that provide passengers with pre-trip information on navigating through the networ...
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Gianpaolo Ghiani, Tommaso Adamo, Pierpaolo Greco and Emanuela Guerriero
In recent years, there have been several attempts to use machine learning techniques to improve the performance of exact and approximate optimization algorithms. Along this line of research, the present paper shows how supervised and unsupervised techniq...
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