Considering knowledge gaps for automated driving in conventional traffic
conference paper
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
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
TNO Identifier
866392
Source title
Fourth International Conference on Advances in Civil Structural and Environmental Engineering, ACSEE 2016
Pages
1-10
Files
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