SAMSON: Simulation supported traffic training environment

Adrian Steinemann, Yves Kellenberger, Pascal Peikert, A. Kunz
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Abstract

Since the publication of the first FTIR multi-touch interaction system [1], the public attention for the field of Single Display Groupware (SDG) has been rising constantly. Lately, former SDG systems with multi-interaction capabilities like DiamondTouch [2], reacTable [3], or Microsoft Surface [4] have been followed by promising systems, i.e. ThinSight [5] and MightyTrace [6]. The latter integrate their tracking technology into commercial liquid crystal displays (LCD), and thus drastically reduce the space requirements. Some recently published work [7] also conveys a trend to support industrial-oriented tasks as systems like BUILDIT [8] did some time ago. We present a traffic training simulator concept based on discrete event simulation to ensure realistic traffic behavior, adequate visualization, and a user centered interaction concept on an SDG system to support training activities for policemen. Within this environment, policemen are able to train their behavior and the adequate choices under different traffic situations much like other professionals train their standard procedures, e.g. pilots in a flight simulator. Such a training environment will give the possibility to learn offline about important characteristics of intersections based on historical data like system stability, incident handling, or additional improvement potential.
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萨姆森:模拟支持的交通训练环境
自第一台FTIR多点触控交互系统[1]问世以来,公众对单显示群件(Single Display Groupware, SDG)领域的关注度不断上升。最近,以前具有多交互功能的SDG系统,如DiamondTouch [2], reacTable[3]或Microsoft Surface[4],已经被有前途的系统所取代,即ThinSight[5]和MightyTrace[6]。后者将其跟踪技术集成到商用液晶显示器(LCD)中,从而大大减少了空间要求。一些最近发表的工作[7]也传达了一种支持面向工业的任务的趋势,就像BUILDIT[8]这样的系统不久前所做的那样。我们提出了一个基于离散事件模拟的交通训练模拟器概念,以确保真实的交通行为,充分的可视化,并在可持续发展目标系统上提出了以用户为中心的交互概念,以支持警察的培训活动。在这种环境下,警察能够训练他们在不同交通情况下的行为和适当的选择,就像其他专业人员在飞行模拟器中训练他们的标准程序一样。这样的训练环境将提供离线学习基于历史数据的十字路口的重要特征的可能性,如系统稳定性、事件处理或其他改进潜力。
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