Agent-Based Simulation System for Supporting Sustainable Tourism Planning

2011 ◽  
pp. 243-252 ◽  
Author(s):  
Dingding Chao ◽  
Kazuo Furuta ◽  
Taro Kanno
Keyword(s):  
Sustainable Tourism ◽  
Simulation System ◽  
Tourism Planning ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals An empirical agent-based simulation system for urban goods transport (MASS-GT)

2018 ◽  
Vol 130 ◽  
pp. 126-133 ◽  
Author(s):  
Michiel de Bok ◽  
Lóri Tavasszy
Keyword(s):  
Simulation System ◽  
Agent Based Simulation ◽  
Agent Based

scholarly journals An improved approach on the model checking for an agent-based simulation system

2020 ◽  
Author(s):  
Yinling Liu ◽  
Tao Wang ◽  
Haiqing Zhang ◽  
Vincent Cheutet
Keyword(s):  
Model Checking ◽  
Simulation System ◽  
Agent Based Simulation ◽  
Agent Based

A Multi Agent Based Simulation Framework for the Study of Transit Passenger’s Route Choice Behavior

2010 ◽  
Vol 108-111 ◽  
pp. 525-529
Author(s):  
Yi Kui Mo ◽  
Xiang Rong Qiao ◽  
Yong Yun Su
Keyword(s):  
Choice Behavior ◽  
Route Choice ◽  
Simulation System ◽  
Simulation Software ◽  
Massachusetts Institute Of Technology ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Route Choice Behavior ◽  
Multi Agent ◽  
Institute Of Technology

In light of the characteristics of transit passenger’s route choice behavior, this paper introduces a multi-agent based simulation approach into the study of this behavior.At first, the paper analyzes factors affecting transit passenger’s route choice behavior and then studies the rules of behavior for transit passengers when making route choices. The paper further proposes a utility function for selected routes and examines ways to investigate and analyze corresponding data so as to provide a basis for the modeling of passenger agent’s route choice behavior. Following this, the paper builds up a simulation system for transit passenger’s route choice behavior based on the multi-agent simulation software Starlogo developed by Massachusetts Institute of Technology (MIT), and explains the process that will actually take place when using the simulation system. Finally, inadequacies of the study are analyzed and the focus of further research is indicated.

scholarly journals Age and Group-driven Pedestrian Behaviour: from Observations to Simulations

2016 ◽  
Vol 1 ◽  
Author(s):  
Andrea Gorrini ◽  
Giuseppe Vizzari ◽  
Stefania Bandini
Keyword(s):  
Model Validation ◽  
Field Observation ◽  
Simulation System ◽  
Combined Effect ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Frequent Type ◽  
Spatial Cohesion ◽  
Pedestrian Simulation ◽  
Simulation Systems

The development of pedestrian simulation systems requires the acquisition of empirical evidences about human behaviour for sake of model validation. In this framework, the paper presents the results of an on field observation of pedestrian behaviour in an urban crowded walkway. The research was aimed at testing the potentially combined effect of ageing and grouping on speed and proxemic behaviour. In particular, we focused on dyads, as the most frequent type of groups in the observed scenario. Results showed that in situation of irregular flows elderly pedestrians walked the 40% slower than adults, due to locomotion skill decline. Dyads walked the 30% slower than singles, due to the need to maintain spatial cohesion to communicate (proxemics). Results contributed to refine the parametric validation of the agent-based simulation system ELIAS38.

Software for the Agent-based Simulation System of the Enterprises with Banks Interaction

2021 ◽  
Author(s):  
Bary G. Ilyasov ◽  
Elena A. Makarova ◽  
Vitaly V. Martynov ◽  
Elena Sh. Zakieva ◽  
Elvira R. Gabdullina ◽  
...  
Keyword(s):  
Simulation System ◽  
Agent Based Simulation ◽  
Agent Based
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