Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/115977
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kontorinaki, Maria | - |
dc.contributor.author | Spiliopoulou, Anastasia | - |
dc.contributor.author | Papamichail, Ioannis | - |
dc.contributor.author | Papageorgiou, Markos | - |
dc.contributor.author | Tyrinopoulos, Yannis | - |
dc.contributor.author | Chrysoulakis, John | - |
dc.date.accessioned | 2023-11-27T10:03:27Z | - |
dc.date.available | 2023-11-27T10:03:27Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Kontorinaki, M., Spiliopoulou, A., Papamichail, I., Papageorgiou, M., Tyrinopoulos, Y., & Chrysoulakis, J. (2015). Overview of nonlinear programming methods suitable for calibration of traffic flow models. Operational Research, 15, 327-336. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/115977 | - |
dc.description.abstract | The calibration of a macroscopic traffic flow model aims at enabling the model to reproduce, as accurately as possible, the real traffic conditions on a motorway network. Essentially, this procedure targets the best value for the parameter vector of the model and this can be achieved using appropriate optimization algorithms. The parameter calibration problem is formulated as a nonlinear, non-convex, least-squares optimization problem, which is known to attain multiple local minima; for this reason gradient-based solution algorithms are not considered to be an option. The methodologies that are more appropriate for application to this problem are mainly some meta-heuristic algorithms which use direct search approaches that allow them to avoid bad local minima. This paper presents an overview of the most suitable nonlinear programming methods for the calibration procedure of macroscopic traffic flow models. Furthermore, an application example, where two well-known macroscopic traffic flow models are evaluated through the calibration procedure, is presented. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Springer-Verlag Berlin Heidelberg | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Traffic flow | en_GB |
dc.subject | Calibration | en_GB |
dc.subject | Computer simulation | en_GB |
dc.subject | Algorithms | en_GB |
dc.subject | Computer software -- Validation | en_GB |
dc.title | Overview of nonlinear programming methods suitable for calibration of traffic flow models | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1007/s12351-014-0146-9 | - |
dc.publication.title | Operational Research - An International Journal | en_GB |
Appears in Collections: | Scholarly Works - FacSciSOR |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Overview_of_nonlinear_programming_methods_suitable_for_calibration_of_traffic_flow_models_2015.pdf Restricted Access | 1.05 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.