A model to estimate the passenger flow based on the dynamic origin–destination matrix applied at the South-Eastern Corridor from the terrestrial transport network in the city of Quito was the goal of this project. In the model, first: The state space was defined for the transport network, and later, was applied the Kalman Filter algorithm to get the dynamic origin–destination matrix. The state variables defined were the origin–destination pairs, the temporal variation, and the speed changes in the origin–destination pairs. Finally, the measure vector, the evolution matrix model, the process noise matrix, and the measurement error matrix were developed.
|Title of host publication||Communication, Smart Technologies and Innovation for Society - Proceedings of CITIS 2021|
|Editors||Álvaro Rocha, Paulo Carlos López-López, Juan Pablo Salgado-Guerrero|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||12|
|State||Published - 2022|
|Event||7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 - Virtual, Online|
Duration: 26 May 2021 → 28 May 2021
|Name||Smart Innovation, Systems and Technologies|
|Conference||7th International Conference on Science, Technology and Innovation for Society, CITIS 2021|
|Period||26/05/21 → 28/05/21|
Bibliographical notePublisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Dynamic origin–destination matrix
- Kalman filter
- Static origin–destination matrix