Dynamic O-D Demand Estimation: Application of SPSA AD-PI Method in Conjunction with Different Assignment Strategies. (23rd May 2018)

• Record Type: Journal Article
• Authors: Nigro, Marialisa; Abdelfatah, Akmal; Cipriani, Ernesto; Colombaroni, Chiara; Fusco, Gaetano; Gemma, Andrea
• Other Names: D'Acierno Luca Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2018(2018)
• Publication Date: 2018-05-23
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2018/2085625
• Languages: English
• ISSNs: 0197-6729

Abstract

Abstract : 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.