Traffic Flow Model Validation Using METANET, ADOL-C and RPROP

Poole, A.; Kotsialos, A.

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.

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 14th IFAC Symposium on Control in Transportation Systems
• Start Date: May 18, 2016
• End Date: May 20, 2016
• Acceptance Date: Feb 1, 2016
• Online Publication Date: Aug 9, 2016
• Publication Date: Aug 9, 2016
• Deposit Date: May 12, 2016
• Publicly Available Date: May 17, 2016
• Volume: 49
• Pages: 291-296
• Series Number: 3
• Series ISSN: 2405-8963
• DOI: https://doi.org/10.1016/j.ifacol.2016.07.049
• Public URL: https://durham-repository.worktribe.com/output/1150363
• Additional Information: Conference date: 18-20 May 2016