Traffic Flow Model Validation Using METANET, ADOL-C and RPROP. Issue 3 (2016)

• Record Type: Journal Article
• Authors: Poole, Adam; Kotsialos, Apostolos
• Is Part Of: IFAC-PapersOnLine. Volume 49:Issue 3(2016)
• Page Start: 291
• Page End: 296
• Publication Date: 2016
• Subjects: Road traffic -- calibration -- parameter estimation -- optimization -- gradient methods; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2016.07.049
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Macroscopic traffic flow model calibration is an optimisation problem typically solved by a derivative-free population based stochastic search methods. This paper reports on the use of a gradient based algorithm using automatic differentiation. The ADOL-C library is coupled with the METANET source code and this system is embedded within an optimisation algorithm based on RPROP. The result is a very efficient system which is able to be calibrate METANET's second order model by determining the density and speed equation parameters as well as the fundamental diagrams used. Information obtained from the system's Jacobian provides extra insight into the system dynamics. A 22 km site is considered near Sheffield, UK and the results of a typical calibration and validation process are reported.