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Speed variation for different drivers, situations, and road geometry: Simulator and survey analysis

机译:针对不同驾驶员,状况和道路几何形状的速度变化:模拟器和测量分析

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摘要

Drivers' speed selection has been a great interest to road safety researchers. In this study, a driving simulator (STISIM) was used to explore drivers' speed chokes, and how they are influenced by infrastructure, traffic, risk/benefit, and driver characteristics. Drivers also filled out a stated-preference survey, which included speed selection items and demographic characteristics. The experimental design included four scenarios of a specific risk or benefit to the driver: A daily trip, a higher speed enforcement scenario, a higher crash-risk scenario, and a scenario with high time pressure. The driver sample included 111 drivers from different ages between 20 and 65, with 44% women. The database included 9,768 observations. The largest effect on drivers' speed was under time-saving benefits with an average increase of 10 km/hr. Infrastructure effects included horizontal curves, longitudinal slope changes, and design speed. Age and gender also influenced speed selection. Thus, the most effective measures for speed reduction may be (1) enforcement, (2) design speed, and (3) horizontal curves, in contrast to (1) time-saving benefits and (2) a high average speed of close-by vehicles, which motivated drivers to increase their speed but may be reduced by counteracting policies.
机译:驾驶员的速度选择已引起道路安全研究人员的极大兴趣。在这项研究中,使用了驾驶模拟器(STISIM)来研究驾驶员的速度节流阀,以及基础设施,交通,风险/收益和驾驶员特性如何影响他们。驾驶员还填写了明确的偏好调查,其中包括速度选择项目和人口统计特征。实验设计包括四种可能给驾驶员带来特定风险或益处的方案:每日出行,更高的速度执行方案,更高的碰撞风险方案以及时间压力较大的方案。驾驶员样本包括111位年龄在20至65岁之间的驾驶员,其中女性占44%。该数据库包括9,768个观测值。对驾驶员速度的最大影响是节省时间,平均每小时增加10 km。基础设施影响包括水平曲线,纵向坡度变化和设计速度。年龄和性别也影响速度选择。因此,与(1)节省时间的好处和(2)接近平均速度的高平均速度相比,降低速度最有效的措施可能是(1)强制执行,(2)设计速度和(3)水平曲线。车辆,这会激励驾驶员提高速度,但可能会因反抗政策而降低。

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