SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data
In the past years the progress in the development of autonomous vehicles has increased tremendously. There are still technical, infrastructural and regulative obstacles which need to be overcome. However, there is a clear consent among experts that fully autonomous vehicles (level 5 of driving autom...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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TIB Open Publishing
2022-09-01
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| Series: | SUMO Conference Proceedings |
| Subjects: | |
| Online Access: | https://www.tib-op.org/ojs/index.php/scp/article/view/113 |
| _version_ | 1797730855860305920 |
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| author | Emanuel Reichsöllner Andreas Freymann Mirko Sonntag Ingo Trautwein |
| author_facet | Emanuel Reichsöllner Andreas Freymann Mirko Sonntag Ingo Trautwein |
| author_sort | Emanuel Reichsöllner |
| collection | DOAJ |
| description | In the past years the progress in the development of autonomous vehicles has increased tremendously. There are still technical, infrastructural and regulative obstacles which need to be overcome. However, there is a clear consent among experts that fully autonomous vehicles (level 5 of driving automation) will become reality in the coming years or at least in the coming decades. When fully autonomous vehicles are widely available for a fair trip price and when they can easily be utilized, a big shift from privately owned cars to carsharing will happen. On the one hand, this shift can bring a lot of chances for cities like the need of less parking space. But on the other hand, there is the risk of an increased traffic when walking or biking trips are substituted by trips with shared autonomous vehicle fleets. While the expected social, ecological and economical impact of widely used shared autonomous vehicle fleets is tremendous, there are hardly any scientific studies or data available for the effects on cities and municipalities. The research project KI4ROBOFLEET addressed this demand. A result of the project was SUMO4AV, a simulation environment for shared autonomous vehicle fleets, which we present in this paper. This simulation tool is based on SUMO, an open-source traffic simulation package. SUMO4AV can support city planners and carsharing companies to evaluate the chances and risks of running shared autonomous fleets in their local environment with their specific infrastructure. At its core it comprises the mapping of OpenStreetMap1 entities into SUMO objects as well as a Scenario Builder to create different operation scenarios for autonomous driving. Additionally, the simulation tool offers a recursive execution with different fleet sizes and optimization strategies evaluated by economic and ecologic parameters. As evaluation of the toolset a simulation of an ordinary scenario was performed. The workflow to simulate the scenario for shared autonomous vehicle fleets was successfully processed with the SUMO4AV environment.
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| first_indexed | 2024-03-12T11:50:16Z |
| format | Article |
| id | doaj.art-114d3b94e2fd41c79c31ce85008639b3 |
| institution | Directory Open Access Journal |
| issn | 2750-4425 |
| language | English |
| last_indexed | 2024-03-12T11:50:16Z |
| publishDate | 2022-09-01 |
| publisher | TIB Open Publishing |
| record_format | Article |
| series | SUMO Conference Proceedings |
| spelling | doaj.art-114d3b94e2fd41c79c31ce85008639b32023-08-31T08:31:33ZengTIB Open PublishingSUMO Conference Proceedings2750-44252022-09-01310.52825/scp.v3i.113SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap DataEmanuel Reichsöllner0Andreas Freymann1Mirko Sonntag 2Ingo Trautwein3Esslingen University of Applied Sciences Fraunhofer Institute for Industrial Engineering Esslingen University of Applied Sciences Fraunhofer Institute for Industrial Engineering In the past years the progress in the development of autonomous vehicles has increased tremendously. There are still technical, infrastructural and regulative obstacles which need to be overcome. However, there is a clear consent among experts that fully autonomous vehicles (level 5 of driving automation) will become reality in the coming years or at least in the coming decades. When fully autonomous vehicles are widely available for a fair trip price and when they can easily be utilized, a big shift from privately owned cars to carsharing will happen. On the one hand, this shift can bring a lot of chances for cities like the need of less parking space. But on the other hand, there is the risk of an increased traffic when walking or biking trips are substituted by trips with shared autonomous vehicle fleets. While the expected social, ecological and economical impact of widely used shared autonomous vehicle fleets is tremendous, there are hardly any scientific studies or data available for the effects on cities and municipalities. The research project KI4ROBOFLEET addressed this demand. A result of the project was SUMO4AV, a simulation environment for shared autonomous vehicle fleets, which we present in this paper. This simulation tool is based on SUMO, an open-source traffic simulation package. SUMO4AV can support city planners and carsharing companies to evaluate the chances and risks of running shared autonomous fleets in their local environment with their specific infrastructure. At its core it comprises the mapping of OpenStreetMap1 entities into SUMO objects as well as a Scenario Builder to create different operation scenarios for autonomous driving. Additionally, the simulation tool offers a recursive execution with different fleet sizes and optimization strategies evaluated by economic and ecologic parameters. As evaluation of the toolset a simulation of an ordinary scenario was performed. The workflow to simulate the scenario for shared autonomous vehicle fleets was successfully processed with the SUMO4AV environment. https://www.tib-op.org/ojs/index.php/scp/article/view/113Autonomous DrivingVehicle FleetsScenario SimulationOpen StreetmapPoints of Interest |
| spellingShingle | Emanuel Reichsöllner Andreas Freymann Mirko Sonntag Ingo Trautwein SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data SUMO Conference Proceedings Autonomous Driving Vehicle Fleets Scenario Simulation Open Streetmap Points of Interest |
| title | SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data |
| title_full | SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data |
| title_fullStr | SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data |
| title_full_unstemmed | SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data |
| title_short | SUMO4AV: An Environment to Simulate Scenarios for Shared Autonomous Vehicle Fleets with SUMO Based on OpenStreetMap Data |
| title_sort | sumo4av an environment to simulate scenarios for shared autonomous vehicle fleets with sumo based on openstreetmap data |
| topic | Autonomous Driving Vehicle Fleets Scenario Simulation Open Streetmap Points of Interest |
| url | https://www.tib-op.org/ojs/index.php/scp/article/view/113 |
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