期刊
出版社
IEEE
DOI: 10.1109/iccve45908.2019.8965065
关键词
Automated Vehicles; Mixed Traffic Flows; Traffic Management; Traffic Simulation; SUMO
资金
- European Union [723016]
- COMET K2 - Competence Centers for Excellent Technologies Programme of the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT)
- Austrian Federal Ministry of Science, Research and Economy (BMWFW)
- Austrian Research Promotion Agency (FFG)
- Province of Styria
- Styrian Business Promotion Agency (SFG)
- H2020 Societal Challenges Programme [723016] Funding Source: H2020 Societal Challenges Programme
Understanding the effects of having automated vehicles in the future traffic scenarios is an important research topic that attracts a great deal of attention currently. The difficulty in studying this problem is the fact that real life measurement and testing of these scenarios can not be made as there are still a very small fraction of automated vehicles in the traffic. So analyzing and understanding the effects of mixed traffic requires extensive simulative analysis. In this paper we analyze this problem using real traffic data in combination with the open-source SUMO traffic simulation software. The traffic flow is modeled based on the measurement data from a section of the Austrian A2 motorway, while the effects of automated vehicles at various penetration rates is simulated and consequently some observation are made.
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