首页> 外文期刊>Journal of advanced transportation >Implementing Surrogate Safety Measures in Driving Simulator and Evaluating the Safety Effects of Simulator-Based Training on Risky Driving Behaviors
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Implementing Surrogate Safety Measures in Driving Simulator and Evaluating the Safety Effects of Simulator-Based Training on Risky Driving Behaviors

机译:在驾驶模拟器中实施代理安全措施,评价模拟器培养对危险驾驶行为的安全效果

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Human errors cause approximately 90 percent of traffic accidents, and drivers with risky driving behaviors are involved in about 52 percent of severe traffic crashes. Driver education using driving simulators has been used extensively to obtain a quantitative evaluation of driving behaviors without causing drivers to be at risk for physical injuries. However, since many driver education programs that use simulators have limits on realistic interactions with surrounding vehicles, they are limited in reducing risky driving behaviors associated with surrounding vehicles. This study introduces surrogate safety measures (SSMs) into simulator-based training in order to evaluate the potential for crashes and to reduce risky driving behaviors in driving situations that include surrounding vehicles. A preliminary experiment was conducted with 31 drivers to analyze whether the SSMs could identify risky driving behaviors. The results showed that 15 SSMs were statistically significant measures to capture risky driving behaviors. This study used simulator-based training with 21 novice drivers, 16 elderly drivers, and 21 commercial drivers to determine whether a simulator-based training program using the SSMs is effective in reducing risky driving behaviors. The risky driving behaviors by novice drivers were reduced significantly with the exception of erratic lane-changing. In the case of elderly drivers, speeding was the only risky driving behavior that was reduced; the others were not reduced because of their difficulty with manipulating the pedals in the driving simulator and their defensive driving. Risky driving behaviors by commercial drivers were reduced overall. The results of this study indicated that the SSMs can be used to enhance drivers’ safety, to evaluate the safety of traffic management strategies as well as to reduce risky driving behaviors in simulator-based training.
机译:人类错误导致大约90%的交通事故,风险驾驶行为的驱动因素涉及大约52%的严重交通崩溃。使用驾驶模拟器的司机教育已被广泛使用,以获得对驾驶行为的定量评估,而不会导致司机面临身体损伤的风险。然而,由于使用模拟器的许多驾驶员教育计划对与周围车辆的逼真相互作用限制,因此它们受到限制,减少与周围车辆相关的冒险行为。本研究将代理安全措施(SSMS)介绍进入基于模拟器的培训,以便评估崩溃的潜力,并减少驾驶情况下的风险驾驶行为,包括围绕车辆。用31个司机进行初步实验,以分析SSMS是否可以识别风险的驾驶行为。结果表明,15个SSMS是统计上的显着措施,以捕捉风险的驾驶行为。本研究采用了基于模拟器的培训与21个新手司机,16名老人司机和21个商业驱动程序,以确定使用SSMS的基于模拟器的培训计划是否有效地降低了风险的驾驶行为。除了不稳定的车道改变之外,新手司机的风险驾驶行为明显减少。在老年司机的情况下,超速是唯一减少的冒险行为;由于他们在驾驶模拟器和防御性驾驶中操纵踏板,因此其他人不会减少。商业司机的风险驾驶行为总体减少。本研究的结果表明,SSMS可用于增强司机的安全性,以评估交通管理策略的安全性,并减少基于模拟器的培训中的风险驾驶行为。

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