Interaction of autonomous and manually-controlled vehicles (IAMCV)
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Manually-controlled vehicles might expect that vehicles with automated capabilities behave in a similar way. To this end, autonomous vehicles algorithms need to take into account human behavior and if appropriate, be able to reproduce it.
This knowledge will make possible to provide automation algorithms with the necessary data sets to make decisions that consider the actions that occur between vehicles and humans and that have an effect upon one another.
The key objectives are:
O1) To find out how to show the information related to the decisions performed by the automated system in an efficient way to other road users; O2) To tailor the automation according to the human behavior by studying intervehicular interaction and being able to predict the response of other road users; O3) Promote trust in automation by demonstrating the technology as a reliable and safe.
These goals will be achieved by analyzing road users' behavior. Several scenarios will be replicated (i.e. intersections with multiple vehicles and roundabouts) to perform the pertinent experiments and determine the impact of the coexistence of AVs and other road users on general road safety, trust and traffic flow.
The IAMCV project will make a substantial contribution to the field of automated vehicles, as it will produce a solid understanding of the factors associated with information processing in a mixed traffic environment. The project will provide new data related to the different approaches regarding the interaction, trust and acceptance of automated vehicles. Furthermore, it will show the societal impact of the technological advance that represents vehicle automation in terms of challenges and benefits and the implications of its increasing adoption.