| Title |
Infrastructure for the Enhancement of Urban Fleet Simulation |
| ID_Doc |
43854 |
| Authors |
Martí, P; Jordán, J; De la Prieta, F; Billhardt, H; Julian, V |
| Title |
Infrastructure for the Enhancement of Urban Fleet Simulation |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-030-78901-5_23 |
| Abstract |
When it comes to urban fleet simulation, there are many factors which determine the quality of the outcome. Without real-world data on which to ground the setup, the results are not guaranteed to be useful. In addition, the coordination mechanisms for agents must be flexible and give the chance to agents to act following their own interests, as most of the urban traffic system users do. In this work we present an infrastructure for the simulation of urban fleets which deals with two challenges: realistic data generation, and self-interested agent coordination. Our infrastructure aims to ease the setup and execution of more realistic simulations in the urban traffic domain. |
| Author Keywords |
Simulation; Transportation; Electric vehicle; Planning; Smart city; Urban fleets |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000851367400023 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Computer Science, Theory & Methods; Green & Sustainable Science & Technology |
| Research Area |
Computer Science; Science & Technology - Other Topics |
| PDF |
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