Estimation of dynamic origin destination matrix: a genetic algorithm approach
Estimation of dynamic origin destination matrix: a genetic algorithm approach
- Neue Suche nach: Ilsoo Yun,
- Neue Suche nach: Byungkyu Park,
- Neue Suche nach: Ilsoo Yun,
- Neue Suche nach: Byungkyu Park,
Dynamic origin-destination (O-D) matrix estimation is one of the key components in the deployment of microscopic traffic simulation based real-time traffic predictions and estimations. Various theoretical methods have been proposed and tested via relatively small-scale networks. Very few practical studies have attempted to evaluate the performance of dynamic O-D matrix estimation methods for large-scale networks. This is because practical applications have not yet adopted dynamic O-D matrix estimation method, in part, due to the complexity and time requirements of advanced methods. This paper investigates the application of dynamic O-D matrix estimation methods for a large-scale network using a genetic algorithm (GA). The performance of GA-based method was compared with that of the QUEENSOD method using a microscopic traffic simulation program, PARAMICS. The evaluation results indicate that the GA-based method outperforms the QUEENSOD method.
Dokumentinformationen
Estimation of dynamic origin destination matrix: a genetic algorithm approach
2005-01-01
260338 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Ähnliche Titel
Estimation of Dynamic Origin Destination Matrix: A Genetic Algorithm Approach
| British Library Conference Proceedings | 2005
Multiple-Vehicle Origin-Destination Matrix Estimation from Traffic Counts Using Genetic Algorithm
| Online Contents | 2004
Multiple-Vehicle Origin-Destination Matrix Estimation from Traffic Counts Using Genetic Algorithm
| British Library Online Contents | 2004