Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters
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 co...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8897141 |
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| _version_ | 1832560035552559104 |
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| author | Alexander Paz Kul Shrestha Cristian Arteaga Douglas Baker |
| author_facet | Alexander Paz Kul Shrestha Cristian Arteaga Douglas Baker |
| author_sort | Alexander Paz |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d8147ec82d94e4aabea9e5fcea4ed61 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-5d8147ec82d94e4aabea9e5fcea4ed612025-02-03T01:28:33ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88971418897141Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and ParametersAlexander Paz0Kul Shrestha1Cristian Arteaga2Douglas Baker3School of Civil Engineering, Queensland University of Technology, Brisbane 4001, AustraliaNOVA Geotechnical & Inspection Services, Las Vegas, NV 89118, USADepartment of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas 89154, NV, USASchool of Built Environment, Queensland University of Technology, Brisbane 4001, AustraliaThis 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.http://dx.doi.org/10.1155/2020/8897141 |
| spellingShingle | Alexander Paz Kul Shrestha Cristian Arteaga Douglas Baker Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters Journal of Advanced Transportation |
| title | Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters |
| title_full | Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters |
| title_fullStr | Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters |
| title_full_unstemmed | Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters |
| title_short | Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters |
| title_sort | calibration of microscopic traffic flow simulation models considering subsets of links and parameters |
| url | http://dx.doi.org/10.1155/2020/8897141 |
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