Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data
Travel demand is an essential input for the creation of traffic models. However, estimating travel demand to accurately represent traffic behaviour usually requires the collection of extensive sets of data on traffic behaviour. Traffic counts are a comparably cost effective and reproducible source...
| Main Authors: | , , , |
|---|---|
| 格式: | 文件 |
| 语言: | English |
| 出版: |
TIB Open Publishing
2023-06-01
|
| 丛编: | SUMO Conference Proceedings |
| 主题: | |
| 在线阅读: | https://www.tib-op.org/ojs/index.php/scp/article/view/223 |
| _version_ | 1827855417821102080 |
|---|---|
| author | Andreas Keler Andreas Kunz Sasan Amini Klaus Bogenberger |
| author_facet | Andreas Keler Andreas Kunz Sasan Amini Klaus Bogenberger |
| author_sort | Andreas Keler |
| collection | DOAJ |
| description |
Travel demand is an essential input for the creation of traffic models. However, estimating travel demand to accurately represent traffic behaviour usually requires the collection of extensive sets of data on traffic behaviour. Traffic counts are a comparably cost effective and reproducible source of information on travel demand. The utilisation of traffic counts to estimate demand is commonly found in the literature as the static and dynamic O-D estimation problem. A variety of approaches have been developed over recent decades to tackle this problem. Usually initial estimates of the O-D matrix are calibrated by utilising traffic counts and considering different assignment models. Other approaches for the estimation of travel demand solely based on traffic measurements can be found in the simulation software SUMO. The present work demonstrates the systematic development of a network model in SUMO in the inner city of Munich. In a sample network the estimation of travel demand through the tools flowrouter and routeSampler is tested by utilising flow measurements from induction loop detectors. The tests delivered unsatisfactory results, which is proven through observations of traffic flows in the resulting simulations as well as comparisons to historic traffic counts. The lack of sufficient detector data and the complexity of the sample network are discussed as the main reasons for the results. It is concluded that the applied tools should be tested in future studies with a more extensive dataset to perform a more comprehensive review of both tools. Therefore, we deliver specific requirements based on the network example of Munich.
|
| first_indexed | 2024-03-12T11:50:48Z |
| format | Article |
| id | doaj.art-a5cbb99a80cc4aacb557a1588742f616 |
| institution | Directory Open Access Journal |
| issn | 2750-4425 |
| language | English |
| last_indexed | 2024-03-12T11:50:48Z |
| publishDate | 2023-06-01 |
| publisher | TIB Open Publishing |
| record_format | Article |
| series | SUMO Conference Proceedings |
| spelling | doaj.art-a5cbb99a80cc4aacb557a1588742f6162023-08-31T08:31:30ZengTIB Open PublishingSUMO Conference Proceedings2750-44252023-06-01410.52825/scp.v4i.223Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector DataAndreas Keler0https://orcid.org/0000-0002-2326-1612Andreas Kunz1Sasan Amini2Klaus Bogenberger3University of Augsburg Technical University of Munich Technical University of MunichTechnical University of Munich Travel demand is an essential input for the creation of traffic models. However, estimating travel demand to accurately represent traffic behaviour usually requires the collection of extensive sets of data on traffic behaviour. Traffic counts are a comparably cost effective and reproducible source of information on travel demand. The utilisation of traffic counts to estimate demand is commonly found in the literature as the static and dynamic O-D estimation problem. A variety of approaches have been developed over recent decades to tackle this problem. Usually initial estimates of the O-D matrix are calibrated by utilising traffic counts and considering different assignment models. Other approaches for the estimation of travel demand solely based on traffic measurements can be found in the simulation software SUMO. The present work demonstrates the systematic development of a network model in SUMO in the inner city of Munich. In a sample network the estimation of travel demand through the tools flowrouter and routeSampler is tested by utilising flow measurements from induction loop detectors. The tests delivered unsatisfactory results, which is proven through observations of traffic flows in the resulting simulations as well as comparisons to historic traffic counts. The lack of sufficient detector data and the complexity of the sample network are discussed as the main reasons for the results. It is concluded that the applied tools should be tested in future studies with a more extensive dataset to perform a more comprehensive review of both tools. Therefore, we deliver specific requirements based on the network example of Munich. https://www.tib-op.org/ojs/index.php/scp/article/view/223Induction Loop DetectorsCalibrationTravel Demand EstimationUrban Digital Twin |
| spellingShingle | Andreas Keler Andreas Kunz Sasan Amini Klaus Bogenberger Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data SUMO Conference Proceedings Induction Loop Detectors Calibration Travel Demand Estimation Urban Digital Twin |
| title | Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data |
| title_full | Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data |
| title_fullStr | Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data |
| title_full_unstemmed | Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data |
| title_short | Calibration of a Microscopic Traffic Simulation in an Urban Scenario Using Loop Detector Data |
| title_sort | calibration of a microscopic traffic simulation in an urban scenario using loop detector data |
| topic | Induction Loop Detectors Calibration Travel Demand Estimation Urban Digital Twin |
| url | https://www.tib-op.org/ojs/index.php/scp/article/view/223 |
| work_keys_str_mv | AT andreaskeler calibrationofamicroscopictrafficsimulationinanurbanscenariousingloopdetectordata AT andreaskunz calibrationofamicroscopictrafficsimulationinanurbanscenariousingloopdetectordata AT sasanamini calibrationofamicroscopictrafficsimulationinanurbanscenariousingloopdetectordata AT klausbogenberger calibrationofamicroscopictrafficsimulationinanurbanscenariousingloopdetectordata |