Title : 
A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach
         
        
            Author : 
Cipriani, Elisa ; Gemma, Andrea ; Nigro, Marialisa
         
        
            Author_Institution : 
Dept. of Eng., Roma Tre Univ., Rome, Italy
         
        
        
        
        
        
            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.
         
        
            Keywords : 
approximation theory; gradient methods; interpolation; road traffic; sensitivity analysis; stochastic processes; adaptive approach; asymmetric design; bi-level gradient approximation method; control traffic phenomena; dynamic traffic demand estimation; polynomial interpolation; second order SPSA AD-PI approach; sensitivity analysis; simultaneous perturbation stochastic approximation method; Approximation methods; Estimation; Heuristic algorithms; Linear programming; Optimization; Sensitivity analysis; Sensors; Dynamic traffic assignment (DTA); SPSA; origin-destination (OD) matrix estimation;
         
        
        
        
            Conference_Titel : 
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
         
        
            Conference_Location : 
The Hague
         
        
        
            DOI : 
10.1109/ITSC.2013.6728539