Augmented Reality Experiment: Drivers' Behavior at an Unsignalized Intersection
Augmented Reality Experiment: Drivers' Behavior at an Unsignalized Intersection
复制标题
增强现实实验：驾驶员在无信号交叉口的行为
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Ghada S. Moussa
中科院分区：
文献类型：
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作者：
K. Hussain;E. Radwan;Ghada S. Moussa
由于普通现场测试的高成本和高风险，将新技术应用于交通工程研究变得更加迫切。增强现实（AR）是其中虚拟（计算机生成的）对象以用户不能在最终场景中区分真实的对象和虚拟对象的方式被添加到真实的场景的那些技术之一。将虚拟对象（人、车辆、危险和其他对象）添加到正常视图可以为测试不同场景下的驾驶性能提供安全的逼真环境。本文介绍了两个系统，即，AR车辆（ARV）和离线AR模拟器（OARSim）系统，并使用它们来研究不同特征的驾驶员在无信号交叉口的左转驾驶行为。进行了两个实验：一个使用安装在车辆上的抗逆转录病毒系统，另一个使用安装在实验室中的OARSim系统。记录了左转驾驶员行为的定量测量。在两个实验中，所有测量参数均无显著性别效应。在这两个实验中，年长的司机选择了更大的间隙，并使用更小的加速度比年轻的司机左转。年长司机的保守驾驶态度，显示他们的驾驶能力可能会下降。虽然使用ARV系统的左转时间没有受到驾驶员年龄的显著影响，但老年驾驶员完成左转动作所需的时间比使用OARSim的年轻驾驶员要长。从这项研究的结果支持的可行性和有效性的建议系统，并显示这些系统被用作替代品，在现场测试的安全和操作方面的运输研究的承诺。
Applying new technologies to traffic engineering studies has become more urgent due to the high cost and risk associated with ordinary in-the-field testing. Augmented reality (AR) is one of those technologies, in which virtual (computer-generated) objects are added to the real scene in a way that the user cannot distinguish between real and virtual objects in the final scene. Adding virtual objects (people, vehicles, hazards, and other objects) to the normal view can provide a safe realistic environment for testing driving performance under different scenarios. This paper presents two systems, i.e., AR vehicle (ARV) and offline AR simulator (OARSim) systems, and uses them to study the left-turn driving behavior at an unsignalized intersection for drivers with different characteristics. Two experiments were performed: one using the ARV system installed in a vehicle and another using the OARSim system installed in the laboratory. Quantitative measurements of left-turn drivers' behaviors were recorded. There was no significant gender effect on all measured parameters in both experiments. Older drivers selected larger gaps and used smaller acceleration rates to turn left than younger drivers in both experiments. The conservative driving attitude of older drivers indicates the potential presence of reduced driving ability of the elderly. While left-turn times using the ARV system were not significantly affected by drivers' age, older drivers took longer time to complete the left-turn maneuver than younger drivers using the OARSim did. Results from this study supported the feasibility and validity of the proposed systems and showed promise for these systems to be used as surrogates to in-the-field testing for safety and operation aspects of transportation research.