作者: E. Rendón-Vélez
DOI: 10.4233/UUID:C9F6A822-73FA-438B-A361-231522EF3C86
关键词:
摘要: One can often hear people discussing the reasons why a road accident has happened: “She had to pick up her kids in school before four o’clock and she was driving haste careless”, “He stressed, he wanted reach beginning of football match, tried drive faster didn't appreciate red light”. In each these statements, single cause is identified: driver situation danger. What mainly influences are reduced risk perception careless decision-making. These two factors play an important role many accidents ending with injuries damages. The particular typically turns be inaccurate fast superficial decision making may lead dangerous happenings. But, there any solution reduce haste? Can we make steps towards assistant system that reduces chance misbehaving fatal accidents? were general research questions stimulated us gain better insight this domain interest first development smart system. overall objective PhD identify indicators sufficient discriminative power for recognition could eventually used algorithms detection state real conditions. Promising distinguishable differences between under normal condition recognized on physiological activity, interaction controls vehicle performance. Though, evident when analyzed per individual participant seldom observable combined data set all participants. This refutes initial belief existed at least one indicator completely insensitive drivers and, contrary, supports idea should studied within rather than groups people. Furthermore, not only variability affects interpretation results, but situations (e.g. car following, overtaking without traffic opposing lane, intersections cruising) also reveal different effects terms separation distributions. results similarly disproof independent context.