| Autor: |
GIUFFRE', Orazio, GRANA', Anna, Tumminello, Maria Luisa, SFERLAZZA, Antonino |
| Přispěvatelé: |
Giuffrè, O, Granà, A, Tumminello, ML, Sferlazza, A |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Popis: |
A calibration procedure for microscopic simulation models based on a genetic algorithm is proposed. Focus is made on single-lane roundabouts for which many random factors such as gap- acceptance affect operations. A comparison is performed between the capacity functions based on a meta- analytic estimation of critical and follow up headways and simulation outputs of a roundabout built in Aimsun microscopic simulator. Aimsun parameters were optimized using the genetic algorithm tool in MATLAB® which automatically interacted with Aimsun through a Python interface. Results showed that applying the genetic algorithm in the calibration process of the microscopic simulation model, a good match to the capacity functions was reached with the optimization parameters set. By this way, automa- tion of the calibration process results effective for analysts which use traffic microsimulation for real world case studies in the professional sphere. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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