Title
Considering knowledge gaps for automated driving in conventional traffic
Author
Calvert, S.C.
Wilmink, I.R.
Soekroella, A.M.G.
van Arem, B.
Publication year
2016
Abstract
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 conflict situations: Method for Explorative TRaffic scenario Observation and Analysis (METRO-A). It is applied to the case of automated driving in conventional traffic to analyze potential difficulties that SAE level 3 and 4 and higher vehicles may encounter in mixed traffic conditions, for a weaving section case-study. Furthermore, a set of important research questions are constructed that are relevant for the automotive industry, and road agencies and authorities
Subject
2015 Urban Mobility & Environment
SMb - Smart Mobility
ELSS - Earth, Life and Social Sciences
Mobility & Logistics
Traffic
Urbanisation
Automated driving
Traffic flow
Vehicle automation
To reference this document use:
http://resolver.tudelft.nl/uuid:f87a8517-78bb-4b40-8291-f88c9559f6b1
TNO identifier
866392
Source
Fourth International Conference on Advances in Civil Structural and Environmental Engineering, ACSEE 2016, 1-10
Document type
conference paper