Serious 3D Game over a Cluster Computing for Situated Learning of Traffic Signals

Carlos Proaño, César Villacís, V. Proano, Walter Fuertes, Mario Almache, Margarita Zambrano, Fernando Galarraga
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引用次数: 4

Abstract

This research presents a serious 3D game over a computer cluster that allows the learning of traffic signals so that the child is a responsible driver and pedestrian. For this purpose, we have applied an agile methodology to be able to produce a driving and pedestrian simulation system as a serious game, which includes a three-layer hierarchical architecture (orientation layer, management layer, and control layer). This architecture can be used to simulate three environments that are: a) Driver’s environment; b) Pedestrian environment; c) Vehicle traffic observer environment. All these environments are controlled by intelligent agents that allow the user to handle the autonomous longitudinal control, the relative distance, the speed of the cars, the collisions between vehicles, the pedestrian collision, excess of the speed limit, circulation in the opposite direction, and respect of traffic signals. Our solution to traffic problems has been validated by the execution of several tests in public schools, and the results demonstrate that this simulation application encourages learning in road safety education for children between 9 and 12 years old, using a distributed environment with a computational cluster in the cloud.
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基于集群计算的交通信号定位学习的严肃3D游戏
这项研究提出了一个严肃的3D游戏在计算机集群,允许学习交通信号,使孩子是一个负责任的司机和行人。为此,我们采用了一种敏捷的方法来制作一个驾驶和行人模拟系统作为一个严肃的游戏,它包括一个三层层次结构(方向层、管理层和控制层)。该架构可用于模拟三种环境:a)驾驶员环境;b)行人环境;c)车辆交通观察者环境。所有这些环境都由智能代理控制,允许用户处理自主纵向控制,相对距离,汽车速度,车辆之间的碰撞,行人碰撞,超速,反方向流通以及尊重交通信号。我们的交通问题解决方案已经在公立学校进行了几次测试,结果表明,该模拟应用程序使用具有云计算集群的分布式环境,鼓励9至12岁儿童学习道路安全教育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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