modelling and simulations
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Author(s):  
Giovanna M. A. Rogati ◽  
Chiara Capecci ◽  
Enza Fazio ◽  
Scolastica Serroni ◽  
Fausto Puntoriero ◽  
...  

Author(s):  
Darith-Anthony Hun ◽  
Julien Yvonnet ◽  
Johann Guilleminot ◽  
Abdelali Dadda ◽  
Anh-Minh Tang ◽  
...  

2021 ◽  
Vol 1199 (1) ◽  
pp. 011001

We are delighted to introduce you the publication of all reviewed papers which is the result of fruitful cooperation among the Technical University of Košice, University of Žilina, Alexander Dubček University of Trenčín, Slovak University of Technology in Bratislava, Kazimierz Wielki University in Bydgoszcz, Poznań University of Technology, Rzeszow University of Technology, Czestochowa University of Technology, Calisia University - Kalisz, Poland, AGH University of Science and Technology, Warsaw University of Technology, Regional technological institute, Jan Evangelista Purkyně University in Ústí nad Labem, Institute of Technology and Business in České Budějovice. The 26th International Slovak-Polish Scientific Conference on Machine Modelling and Simulations continues in the Slovak Republic and was held from 13th to 15th of September 2021 in Hotel Alexander, Bardejovské Kúpele, Slovak Republic. The international conference was established in 1996 and is held annually every year. List of Organizing Committee, Organizing Committee, Scientific Committee are available in this pdf.


Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1130-1145
Author(s):  
Jean-David Collard ◽  
Erick Stattner ◽  
Panagiotis Gergos

Many of us have experienced this when driving in the city, we had to “turn for hours” to find a parking space. To attenuate this drawback, this paper proposes a collaborative parking search strategy based on the reality of a drivers network in which, depending on his/her role at a given time, each one can help the others to find public on-street parking spots. To highlight a situation of parking spot scarcity, we assume the extreme case where there is no free space and the only solution to park is to swap with a parked car that leaves its location. Under this assumption, agent-based modelling and simulations allow to compare the ReadyPark solution with the classical approach that consists, by luck, in taking the place of a nearby car that is leaving its spot.


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