Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters
Joint Authors
Paz, Alexander
Shrestha, Kul
Arteaga, Cristian
Baker, Douglas
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-31
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
This study proposes a methodology for the calibration of microscopic traffic flow simulation models by enabling simultaneous selection of traffic links and associated parameters.
The analyst selects any number and combination of links and model parameters for calibration.
Most calibration methods consider the entire network and use ad hoc approaches without enabling a specific selection of location and associated parameters.
In practice, only a subset of links and parameters is used for calibration based on several factors such as expert knowledge of the system or constraints imposed by local governance.
In this study, the calibration problem for the simultaneous selection of links and parameters was formulated using a mathematical programming approach.
The proposed methodology is capable of calibrating model parameters considering multiple time periods and performance measures simultaneously.
Traffic volume and speed are the performance measures used in this study, and the methodology is developed without considering the characteristics of a specific traffic flow model.
A genetic algorithm was implemented to find a solution to the proposed mathematical program.
In the experiments, two traffic models were calibrated: the first set of experiments included selection of links only, while all associated parameters were considered for calibration.
The second set of experiments considered simultaneous selection of links and parameters.
The implications of these experiments indicate that the models were calibrated successfully subject to selection of a minimum number of links.
As expected, the more links and parameters that are used for calibration, the more time it takes to find a solution, but the overall results are better.
All parameter values were reasonable and within constraints after successful calibration.
American Psychological Association (APA)
Paz, Alexander& Shrestha, Kul& Arteaga, Cristian& Baker, Douglas. 2020. Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1180984
Modern Language Association (MLA)
Paz, Alexander…[et al.]. Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters. Journal of Advanced Transportation No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1180984
American Medical Association (AMA)
Paz, Alexander& Shrestha, Kul& Arteaga, Cristian& Baker, Douglas. Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1180984
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1180984