Name
Abstract | ||
|---|---|---|
With the generalization of real-time traveler information, the behavior of modern transport networks becomes harder to analyze and to predict. It is now critical to develop simulation tools for mobility policies makers, taking into account this newinformation environment. Information is nowindividualized, and the interaction of a huge population of individually guided travelers have to be taken into account in the simulations. However, existing mobility multiagent and micro-simulations can only consider a sample of the real volumes of travelers, especially for big regions. With distributed simulations, it would be easier to analyze and predict the status of nowadays and future networks, with informed and connected travelers. In this paper, we propose a comparison between two methods for distributing multiagent travelers mobility simulations, allowing for the consideration of realistic travelers flows and wide geographical regions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19728-9_2 | AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS |
Field | DocType | Volume |
Data science,Population,Computer science,Traffic simulator,Artificial intelligence,Information environment,Machine learning | Conference | 38 |
ISSN | Citations | PageRank |
2190-3018 | 2 | 0.39 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| matthieu mastio | 1 | 2 | 0.39 |
| Mahdi Zargayouna | 2 | 46 | 14.87 |
| Omer F. Rana | 3 | 2181 | 229.52 |