Improved Calibration Method for Dynamic Traffic Assignment Models
The calibration of dynamic traffic assignment (DTA) models involves the estimation of model parameters to best replicate real-world measurements. Good calibration is essential to estimate and predict accurately traffic states, which are crucial for traffic management applications to alleviate conges...
| Главные авторы: | , , , , , |
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| Формат: | Статья |
| Опубликовано: |
SAGE Publications
2018
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| Online-ссылка: | http://hdl.handle.net/1721.1/117160 https://orcid.org/0000-0003-3767-460X https://orcid.org/0000-0002-9635-9987 |