Dynamic O-D Demand Estimation: Application of SPSA AD-PI Method in Conjunction with Different Assignment Strategies

Autor: Marialisa Nigro, Akmal Abdelfatah, Ernesto Cipriani, Chiara Colombaroni, Gaetano Fusco, Andrea Gemma
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Advanced Transportation, Vol 2018 (2018)
Druh dokumentu: article
ISSN: 0197-6729
2042-3195
DOI: 10.1155/2018/2085625
Popis: This paper examines the impact of applying dynamic traffic assignment (DTA) and quasi-dynamic traffic assignment (QDTA) models, which apply different route choice approaches (shortest paths based on current travel times, User Equilibrium: UE, and system optimum: SO), on the accuracy of the solution of the offline dynamic demand estimation problem. The evaluation scheme is based on the adoption of a bilevel approach, where the upper level consists of the adjustment of a starting demand using traffic measures and the lower level of the solution of the traffic network assignment problem. The SPSA AD-PI (Simultaneous Perturbation Stochastic Approximation Asymmetric Design Polynomial Interpolation) is adopted as a solution algorithm. A comparative analysis is conducted on a test network and the results highlight the importance of route choice model and information for the stability and the quality of the offline dynamic demand estimations.
Databáze: Directory of Open Access Journals
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