Modular simulation-based physical and emotional assessment of ambient intelligence in traffic
Sprache des Titels:
Englisch
Original Kurzfassung:
Abstract?In this work we detail a modular approach for measuring the secondary physical and emotional effects of Ambient
Intelligence (AmI) technology in traffic. Using the case of merges on to a highway we assess the results of a system that
advises the driver to change early to a lane on the left to create space for merging cars downstream (tested using a cellular automata simulation). The indirect impact of the system downstream, namely how the remaining lane changes from the merge
lane to the innermost lane proceed, is then evaluated using a time-discrete, space-continuous microscopic traffic simulation
tool. This yields detailed results concerning driver interactions
that can also be used to derive an estimate of driver anger in the situation. We have used real geographic, traffic and
psychological data to test the system, and different models are used to accomplish various tasks. The approach yields
(surprisingly) negative results concerning the indirect emotional impact of this AmI intervention which may be due to the nature of the lane changing model used and the chosen parameters. We argue that such an approach is also applicable to similar types of systems where different data and model types are suited to different scenario elements.