Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow
This work focuses on the potential impacts of the autonomous vehicles in a mixed traffic condition represented in traffic simulator Simulation of Urban MObility (SUMO) with real traffic flow. Specifically, real traffic flow and speed data collected in 2002 and 2019 in Gothenburg were used to simulat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2023-03-01
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| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/JICV.2023.9210001 |
| _version_ | 1797293749864235008 |
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| author | Eleonora Andreotti Selpi Pinar Boyraz |
| author_facet | Eleonora Andreotti Selpi Pinar Boyraz |
| author_sort | Eleonora Andreotti |
| collection | DOAJ |
| description | This work focuses on the potential impacts of the autonomous vehicles in a mixed traffic condition represented in traffic simulator Simulation of Urban MObility (SUMO) with real traffic flow. Specifically, real traffic flow and speed data collected in 2002 and 2019 in Gothenburg were used to simulate daily flow variation in SUMO. In order to predict the most likely drawbacks during the transition from a traffic consisting only manually driven vehicles to a traffic consisting only fully-autonomous vehicles, this study focuses on mixed traffic with different percentages of autonomous and manually driven vehicles. To realize this aim, several parameters of the car following and lane change models of autonomous vehicles are investigated in this paper. Along with the fundamental diagram, the number of lane changes and the number of conflicts are analyzed and studied as measures for improving road safety and efficiency. The study highlights that the autonomous vehicles’ features that improve safety and efficiency in 100% autonomous and mixed traffic are different, and the ability of autonomous vehicles to switch between mixed and autonomous driving styles, and vice versa depending on the scenario, is necessary. |
| first_indexed | 2024-03-07T21:19:08Z |
| format | Article |
| id | doaj.art-ba80fc72fe9b447bae419645ddc1d6fb |
| institution | Directory Open Access Journal |
| issn | 2399-9802 |
| language | English |
| last_indexed | 2024-03-07T21:19:08Z |
| publishDate | 2023-03-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent and Connected Vehicles |
| spelling | doaj.art-ba80fc72fe9b447bae419645ddc1d6fb2024-02-27T15:35:52ZengTsinghua University PressJournal of Intelligent and Connected Vehicles2399-98022023-03-016111510.26599/JICV.2023.9210001Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flowEleonora Andreotti0Selpi1Pinar Boyraz2Department of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Göteborg, SwedenDepartment of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Göteborg, SwedenDepartment of Mechanics and Maritime Sciences, Chalmers University of Technology, SE-412 96 Göteborg, SwedenThis work focuses on the potential impacts of the autonomous vehicles in a mixed traffic condition represented in traffic simulator Simulation of Urban MObility (SUMO) with real traffic flow. Specifically, real traffic flow and speed data collected in 2002 and 2019 in Gothenburg were used to simulate daily flow variation in SUMO. In order to predict the most likely drawbacks during the transition from a traffic consisting only manually driven vehicles to a traffic consisting only fully-autonomous vehicles, this study focuses on mixed traffic with different percentages of autonomous and manually driven vehicles. To realize this aim, several parameters of the car following and lane change models of autonomous vehicles are investigated in this paper. Along with the fundamental diagram, the number of lane changes and the number of conflicts are analyzed and studied as measures for improving road safety and efficiency. The study highlights that the autonomous vehicles’ features that improve safety and efficiency in 100% autonomous and mixed traffic are different, and the ability of autonomous vehicles to switch between mixed and autonomous driving styles, and vice versa depending on the scenario, is necessary.https://www.sciopen.com/article/10.26599/JICV.2023.9210001automated drivingautonomous vehicles (avs)mixed-traffictraffic simulationsdriving stylerealistic conditions |
| spellingShingle | Eleonora Andreotti Selpi Pinar Boyraz Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow Journal of Intelligent and Connected Vehicles automated driving autonomous vehicles (avs) mixed-traffic traffic simulations driving style realistic conditions |
| title | Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| title_full | Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| title_fullStr | Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| title_full_unstemmed | Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| title_short | Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| title_sort | potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow |
| topic | automated driving autonomous vehicles (avs) mixed-traffic traffic simulations driving style realistic conditions |
| url | https://www.sciopen.com/article/10.26599/JICV.2023.9210001 |
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