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Document type:
Zeitschriftenaufsatz 
Author(s):
Llorca, Carlos; Moeckel, Rolf 
Title:
Effects of scaling down the population for agent-based traffic simulations 
Abstract:
Agent-based transport models simulate the travel demand of individuals at a fine resolution. However, when large road networks and numerous agents are simulated, they require long runtimes. In order to achieve reasonable runtimes, a common strategy is to randomly subsample the entire population. The capacity of the road network is scaled down proportionally. Previous studies have found that scaling affects the simulated agents’ travel time and distance, although the reasons behind that and the s...    »
 
Keywords:
agent-based simulation, large scale model, sampling 
Journal title:
Procedia Computer Science 
Year:
2019 
Journal volume:
151 
Pages contribution:
782 - 787 
Print-ISSN:
1877-0509 
Notes:
The 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops