The paper presents an in-depth analysis of the bi-level gradient approximation approach for dynamic traffic demand estimation. Initially, a sensitivity analysis of the parameters of Simultaneous Perturbation Stochastic Approximation method (SPSA) with Asymmetric Design (AD) and Polynomial Interpolation (PI), firstly proposed by authors in 2011, is presented. Then, an adaptive method based on the second order SPSA AD-PI approach, is explored; finally, some new advances of the estimation method are proposed in order to keep under control traffic phenomena during the estimation. © 2013 IEEE.

Cipriani, E., Gemma, A., Nigro, M. (2013). A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp.2100-2105) [10.1109/ITSC.2013.6728539].

A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach

Cipriani, Ernesto;Gemma, Andrea;Nigro, Marialisa
2013-01-01

Abstract

The paper presents an in-depth analysis of the bi-level gradient approximation approach for dynamic traffic demand estimation. Initially, a sensitivity analysis of the parameters of Simultaneous Perturbation Stochastic Approximation method (SPSA) with Asymmetric Design (AD) and Polynomial Interpolation (PI), firstly proposed by authors in 2011, is presented. Then, an adaptive method based on the second order SPSA AD-PI approach, is explored; finally, some new advances of the estimation method are proposed in order to keep under control traffic phenomena during the estimation. © 2013 IEEE.
9781479929146
Cipriani, E., Gemma, A., Nigro, M. (2013). A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach. In IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC (pp.2100-2105) [10.1109/ITSC.2013.6728539].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/334493
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