| Autor: |
Justin Emery, Nicolas Marilleau, Nadège Martiny, Thomas Thévenin |
| Jazyk: |
German<br />English<br />French<br />Italian<br />Portuguese |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Cybergeo (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1278-3366 |
| DOI: |
10.4000/cybergeo.34767 |
| Popis: |
This paper presents the SCAUP model (Multi-Agents Simulation from Urban sensors data for traffic Air Pollution). SCAUP aims at simulating a road traffic based on a data-driven approach in order to be close to observation on a wide set of theoretical road network. The data used in SCAUP are based on automatic traffic counting measurements done by electromagnetic loop sensors. The purpose of the proposed agent-based model is to simulate road traffic at the scale of a theoretical and controlled road network. In this paper, we present an overview of the sets of parameters, the overall simulation process and its analysis tests, in order to evaluate the SCAUP capacities to simulate a traffic flow pattern with two main input data: road network and traffic counting data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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