Abstract
With increasing numbers of vehicles using low level automation and higher level automation expected in the future, significant effects are expected on traffic flow. Despite much simulation and driving simulator research on SAE level 1 vehicles, there remain many questions in regard to the effects of the systems on traffic flow. The effects of higher levels of automation are even more difficult to estimate, as these vehicles are not even present on roads at this time, let alone in sufficient numbers to analyze. In this research, we propose a methodology for a-priori analysis of potential conflictsituations: Method for Explorative TRaffic scenario Observation and Analysis (METRO-A). It is applied to the case of automated driving in conventional traffic to analyzepotential difficulties that SAE level 3and 4and higher vehicles may encounterin mixed traffic conditions, for a weaving section case-study. Furthermore, a set of important research questions are constructed that are relevant forthe automotive industry, and road agencies and authorities.
Original language | English |
---|---|
Title of host publication | Proceedings of the Fourth International Conference on Advances in Civil, Structural and Environmental Engineering -ACSEE 2016 |
Publisher | SEEK digital library |
Pages | 102-111 |
ISBN (Electronic) | 978-1-63248-114-6 |
DOIs | |
Publication status | Published - 16 Dec 2016 |
Event | 4th International Conference on Advances in Civil, Structural and Environmental Engineering - Rome, Italy Duration: 15 Dec 2016 → 16 Dec 2016 Conference number: 4 |
Conference
Conference | 4th International Conference on Advances in Civil, Structural and Environmental Engineering |
---|---|
Abbreviated title | ACSEE 2016 |
Country/Territory | Italy |
City | Rome |
Period | 15/12/16 → 16/12/16 |
Keywords
- Automated driving
- Traffic flow
- Vehicle automation
Fingerprint
Dive into the research topics of 'Considering knowledge gaps for automated driving in conventional traffic'. Together they form a unique fingerprint.Prizes
-
Best paper award ACSEE 2016
Calvert, S.C. (Recipient), 16 Dec 2016
Prize: Prize (including medals and awards)