A significant part of the traffic accidents in European roads involves particular driver cohorts, such as motorcycle riders, truck drivers and emergency vehicle drivers. Several scientific studies have shown that a good percentage of these accidents may be attributed to insufficient or even inappropriate training, of higher order skills and risk awareness. Computer-based tools (multimedia software, driving simulators, training videos and CDs, etc.) have been proposed and used to train relevant skills in small scale projects so far. The new simulation tools that TRAIN-ALL EC co-funded project proposes to develop for the training of the above-mentioned driver groups, have many innovative features, such as Ambient Intelligence-based traffic participants (representing real individual drivers' behaviour), virtual instructor guidance and ADAS/IVICS training modules, dynamic scenario management, enhanced reality representation and adaptive training, supporting co-driving, cooperative and group training, as well as remote networking. The developed tools are to be tested in 10 pilots Europewide. In this paper, a description of the overall project approach and its modules is provided, focusing on the innovative elements and concepts of the ambient intelligence module, as an example case. Also, the foreseen impact in the traffic safety area and beyond is highlighted. (A). For the covering abstract of the conference see E216632.
Abstract