Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume
This article presents the experience of building a simulation scenario of the whole city of Duisburg using real traffic data. The establishment of the simulation scenario is based on road network and traffic volume. In most cases, it is hard to collect all data sources with high precision. Moreover,...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/3/1193 |
| _version_ | 1797406551273635840 |
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| author | Xiaoyi Ma Xiaowei Hu Thomas Weber Dieter Schramm |
| author_facet | Xiaoyi Ma Xiaowei Hu Thomas Weber Dieter Schramm |
| author_sort | Xiaoyi Ma |
| collection | DOAJ |
| description | This article presents the experience of building a simulation scenario of the whole city of Duisburg using real traffic data. The establishment of the simulation scenario is based on road network and traffic volume. In most cases, it is hard to collect all data sources with high precision. Moreover, it is time-consuming to set up a realistic traffic scenario. Even with available data, conversion, calibration, and validation all take a large effort. With the increase of the respective simulation area, the difficulty and workload rise. In this study, a simulation scenario of the whole city of Duisburg with the road network area of 232 km<sup>2</sup> and Origin/Destination (OD) matrix area over 800 km<sup>2</sup> was established in the software package SUMO. Four cases with different networks and traffic volumes were built and compared with real traffic data collected from induction loops. The percentage of simulated traffic volume in real traffic volume range can be up to 72.22%. |
| first_indexed | 2024-03-09T03:28:04Z |
| format | Article |
| id | doaj.art-16b9b58450dc448bb4dfa753aba4385a |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T03:28:04Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-16b9b58450dc448bb4dfa753aba4385a2023-12-03T14:59:23ZengMDPI AGApplied Sciences2076-34172021-01-01113119310.3390/app11031193Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic VolumeXiaoyi Ma0Xiaowei Hu1Thomas Weber2Dieter Schramm3Department of Mechatronics, University of Duisburg-Essen, 47047 Duisburg, GermanyDepartment of Mechatronics, University of Duisburg-Essen, 47047 Duisburg, GermanyDepartment of Mechatronics, University of Duisburg-Essen, 47047 Duisburg, GermanyDepartment of Mechatronics, University of Duisburg-Essen, 47047 Duisburg, GermanyThis article presents the experience of building a simulation scenario of the whole city of Duisburg using real traffic data. The establishment of the simulation scenario is based on road network and traffic volume. In most cases, it is hard to collect all data sources with high precision. Moreover, it is time-consuming to set up a realistic traffic scenario. Even with available data, conversion, calibration, and validation all take a large effort. With the increase of the respective simulation area, the difficulty and workload rise. In this study, a simulation scenario of the whole city of Duisburg with the road network area of 232 km<sup>2</sup> and Origin/Destination (OD) matrix area over 800 km<sup>2</sup> was established in the software package SUMO. Four cases with different networks and traffic volumes were built and compared with real traffic data collected from induction loops. The percentage of simulated traffic volume in real traffic volume range can be up to 72.22%.https://www.mdpi.com/2076-3417/11/3/1193realistic traffic scenariomicroscopic traffic simulationtraffic demandscenario generation |
| spellingShingle | Xiaoyi Ma Xiaowei Hu Thomas Weber Dieter Schramm Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume Applied Sciences realistic traffic scenario microscopic traffic simulation traffic demand scenario generation |
| title | Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume |
| title_full | Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume |
| title_fullStr | Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume |
| title_full_unstemmed | Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume |
| title_short | Experiences with Establishing a Simulation Scenario of the City of Duisburg with Real Traffic Volume |
| title_sort | experiences with establishing a simulation scenario of the city of duisburg with real traffic volume |
| topic | realistic traffic scenario microscopic traffic simulation traffic demand scenario generation |
| url | https://www.mdpi.com/2076-3417/11/3/1193 |
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