Abstract
One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the composition of traffic situations to be able to quantify the impact Automated Vehicles will have on everyday traffic. This paper presents a methodology on how to find metrics that quantify traffic in order to detect changes in the traffic space that will come with the introduction of Automated Vehicles. Additionally, this methodology provides tools to help with the validation of virtual testing platforms such as simulation.
Original language | English |
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Title of host publication | IAVVC 2023 - IEEE International Automated Vehicle Validation Conference, Proceedings |
Publisher | IEEE |
ISBN (Electronic) | 9798350322538 |
DOIs | |
Publication status | Published - 2023 |
Event | 2023 IEEE International Automated Vehicle Validation Conference: IAVVC 2023 - Austin, United States Duration: 16 Oct 2023 → 18 Oct 2023 |
Conference
Conference | 2023 IEEE International Automated Vehicle Validation Conference |
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Abbreviated title | IAVVC 2023 |
Country/Territory | United States |
City | Austin |
Period | 16/10/23 → 18/10/23 |
Keywords
- Automated Driving
- Autonomous Vehicles
- Impact Analysis
ASJC Scopus subject areas
- Artificial Intelligence
- Automotive Engineering
- Safety, Risk, Reliability and Quality
- Control and Optimization
- Modelling and Simulation
- Instrumentation