Using Crash Data to Develop Simulator Scenarios for Assessing Novice Driver Performance.
Using Crash Data to Develop Simulator Scenarios for Assessing Novice Driver Performance.
复制标题
DOI：
10.3141/2321-10
复制
发表时间：
2012
影响因子：
1.7
通讯作者：
Winston FK
中科院分区：
文献类型：
--
作者：
McDonald CC;Tanenbaum JB;Lee YC;Fisher DL;Mayhew DR;Winston FK
青少年司机在头6个月或头1,000英里的驾驶中撞车风险最高。驾驶员培训、成人监督的练习驾驶和其他干预措施旨在提高新手驾驶员的驾驶表现。以前的驾驶员培训计划列举了数千种场景，每种场景都需要一种或多种技能。虽然有一个广泛的技能，需要成为一个称职的司机的共识，有没有一套共识的情况和技能，以评估新手司机是否可能崩溃或评估新手司机培训计划的影响，对可能性的崩溃。作者提出，可以使用一组范围更窄的常见场景来关注年轻司机的高风险车祸。直到最近，还不可能确定高风险撞车事故的具体情况。然而，整合警方的碰撞报告，从以前的研究，一些关键的模拟器研究，和一个全国代表性的数据库，严重的青少年碰撞（全国机动车碰撞原因调查），现在使识别这些情况成为可能。在本文中，作者提出了这种新的方法，并讨论了如何创建一组通用的模拟场景和技能，以评估新手驾驶员的表现以及与高风险碰撞相关的培训和干预措施的效果。
Teenage drivers are at their highest crash risk in their first 6 months or first 1,000 mi of driving. Driver training, adult-supervised practice driving, and other interventions are aimed at improving driving performance in novice drivers. Previous driver training programs have enumerated thousands of scenarios, with each scenario requiring one or more skills. Although there is general agreement about the broad set of skills needed to become a competent driver, there is no consensus set of scenarios and skills to assess whether novice drivers are likely to crash or to assess the effects of novice driver training programs on the likelihood of a crash. The authors propose that a much narrower, common set of scenarios can be used to focus on the high-risk crashes of young drivers. Until recently, it was not possible to identify the detailed set of scenarios that were specific to high-risk crashes. However, an integration of police crash reports from previous research, a number of critical simulator studies, and a nationally representative database of serious teen crashes (the National Motor Vehicle Crash Causation Survey) now make identification of these scenarios possible. In this paper, the authors propose this novel approach and discuss how to create a common set of simulated scenarios and skills to assess novice driver performance and the effects of training and interventions as they relate to high-risk crashes.
登录
查看更多内容
影响因子：
2.9
作者：
Bedard, Michel;Parkkari, Marie;Dahlquist, Mike
通讯作者：
Dahlquist, Mike
影响因子：
1.7
作者：
Fisher, Donald L.;Pradhan, Anuj K.;Knodler, Michael A., Jr.
通讯作者：
Knodler, Michael A., Jr.
影响因子：
1.7
作者：
Garay-Vega, Lisandra;Fisher, Donald L.;Pollatsek, Alexander
通讯作者：
Pollatsek, Alexander
影响因子：
4.1
作者：
Mayhew, Daniel R.;Simpson, Herb M.;Johnson, Amanda G.
通讯作者：
Johnson, Amanda G.
影响因子：
5.9
作者：
McKnight, AJ;McKnight, AS
通讯作者：
McKnight, AS