Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network
In this paper, we assess the effects of different shares of autonomous vehicles (AVs) on the traffic flow and, in particular, on the maximum possible capacity at signal-controlled intersections. For this purpose, all signal-controlled nodes in the traffic network of the Düsseldorf metropolitan area...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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TIB Open Publishing
2022-06-01
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| Series: | SUMO Conference Proceedings |
| Online Access: | https://www.tib-op.org/ojs/index.php/scp/article/view/87 |
| _version_ | 1797730878115282944 |
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| author | Ronald Nippold Peter Wagner Olaf Angelo Banse Bueno Christian Rakow |
| author_facet | Ronald Nippold Peter Wagner Olaf Angelo Banse Bueno Christian Rakow |
| author_sort | Ronald Nippold |
| collection | DOAJ |
| description |
In this paper, we assess the effects of different shares of autonomous vehicles (AVs) on the traffic flow and, in particular, on the maximum possible capacity at signal-controlled intersections. For this purpose, all signal-controlled nodes in the traffic network of the Düsseldorf metropolitan area were systematically simulated and evaluated using the microscopic traffic simulation tool SUMO.
The analysis shows that defensively parameterized AVs – as envisaged in the umbrella project of this research – may decrease the maximum possible traffic at signal-controlled intersections. Moreover, the simulation runs indicate that capacity at these intersections decreases almost linearly with a growing share of AV. In a second part of this analysis, a freeway section was simulated with the same varying shares of CV and AV to investigate free-flow traffic. In this case, the simulation results of the maximum traffic flow can be approximated by a third-order polynomial fit. The minimum capacity is found for the uniform share of both vehicle types (i.e. 50 % AV and 50 % CV).
The overall intent of this project is to provide an approach to determine system-wide and long-term effects of AVs from local microscopic observations. To this end, the SUMO microscopic traffic simulation will be utilized to derive realistic flow capacities for signal-controlled intersections. In a next step, these capacities will be transferred to a mesoscopic traffic simulation. Subsequently, flow capacities can be systematically adjusted in this network-wide mobility simulation to parameterize the influence of future infrastructure and vehicle technologies.
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| first_indexed | 2024-03-12T11:50:34Z |
| format | Article |
| id | doaj.art-64e421bc440b4a85b13a37e82ebf67f7 |
| institution | Directory Open Access Journal |
| issn | 2750-4425 |
| language | English |
| last_indexed | 2024-03-12T11:50:34Z |
| publishDate | 2022-06-01 |
| publisher | TIB Open Publishing |
| record_format | Article |
| series | SUMO Conference Proceedings |
| spelling | doaj.art-64e421bc440b4a85b13a37e82ebf67f72023-08-31T08:32:08ZengTIB Open PublishingSUMO Conference Proceedings2750-44252022-06-01210.52825/scp.v2i.87Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport networkRonald Nippold0Peter Wagner1https://orcid.org/0000-0001-9097-8026Olaf Angelo Banse Bueno2Christian Rakow3German Aerospace Center German Aerospace Center German Aerospace Center Technical University of Berlin In this paper, we assess the effects of different shares of autonomous vehicles (AVs) on the traffic flow and, in particular, on the maximum possible capacity at signal-controlled intersections. For this purpose, all signal-controlled nodes in the traffic network of the Düsseldorf metropolitan area were systematically simulated and evaluated using the microscopic traffic simulation tool SUMO. The analysis shows that defensively parameterized AVs – as envisaged in the umbrella project of this research – may decrease the maximum possible traffic at signal-controlled intersections. Moreover, the simulation runs indicate that capacity at these intersections decreases almost linearly with a growing share of AV. In a second part of this analysis, a freeway section was simulated with the same varying shares of CV and AV to investigate free-flow traffic. In this case, the simulation results of the maximum traffic flow can be approximated by a third-order polynomial fit. The minimum capacity is found for the uniform share of both vehicle types (i.e. 50 % AV and 50 % CV). The overall intent of this project is to provide an approach to determine system-wide and long-term effects of AVs from local microscopic observations. To this end, the SUMO microscopic traffic simulation will be utilized to derive realistic flow capacities for signal-controlled intersections. In a next step, these capacities will be transferred to a mesoscopic traffic simulation. Subsequently, flow capacities can be systematically adjusted in this network-wide mobility simulation to parameterize the influence of future infrastructure and vehicle technologies. https://www.tib-op.org/ojs/index.php/scp/article/view/87 |
| spellingShingle | Ronald Nippold Peter Wagner Olaf Angelo Banse Bueno Christian Rakow Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network SUMO Conference Proceedings |
| title | Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network |
| title_full | Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network |
| title_fullStr | Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network |
| title_full_unstemmed | Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network |
| title_short | Investigation of the effect of autonomous vehicles (AV) on the capacity of an urban transport network |
| title_sort | investigation of the effect of autonomous vehicles av on the capacity of an urban transport network |
| url | https://www.tib-op.org/ojs/index.php/scp/article/view/87 |
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