  To support the testing of AVs, CETRAN has created a guideline for the
evaluation of complex multi agent test scenarios presented in this report. This
allows for a clear structured manner in evaluating complexity elements based on
the corresponding difficulties an AV might encounter in Singapore traffic. This
study aims to understand the source of complexity for AVs from traffic hazard,
by breaking down the difficulties on AV capabilities as perception, situation
awareness and decision-making. Guidelines created through this study are
composed by a list of elements to be considered in the future as selection
criteria to evaluate complexity of scenarios to support AV behaviour
assessment. This study is intended to be a guide to understand the sources of
complexity for Avs and can be used to challenge the risk management ability of
autonomous vehicles in a scenario-based test approach or traffic situations
faced on road trials.
  The report includes the usage of the guidelines created as application to
evaluate the complexity of a set of 5 real events that occur on Singapore roads
from Resembler webtool which is a database of real human accidents/incidents.
Four scenarios were also designed for creation in simulation by the CETRAN
team, applying the guidelines for complexity elements created in this work, to
illustrate the difficulties an ADS could experience with such scenarios.
