University of Nevada, Reno, 1664 N Virginia St, MS 258, Reno, NV 89557, United States.
J Safety Res. 2017 Dec;63:177-185. doi: 10.1016/j.jsr.2017.10.010. Epub 2017 Oct 19.
Understanding driver behavior is important for traffic safety and operation, especially at intersections where different traffic movements conflict. While most driver-behavior studies are based on simulation, this paper documents the analysis of driver-behavior at signalized intersections with the SHRP 2 Naturalistic Driving Study (NDS) data. This study analyzes the different influencing factors on the operation (speed control) and observation of right-turn drivers.
A total of 300 NDS trips at six signalized intersections were used, including the NDS time-series sensor data, the forward videos and driver face videos. Different factors of drivers, vehicles, roads and environments were studied for their influence on driver behavior. An influencing index function was developed and the index was calculated for each influencing factor to quantitatively describe its influencing level. The influencing index was applied to prioritize the factors, which facilitates development and selection of safety countermeasures to improve intersection safety. Drivers' speed control was analyzed under different conditions with consideration of the prioritized influencing factors.
Vehicle type, traffic signal status, conflicting traffic, conflicting pedestrian and driver age group were identified as the five major influencing factors on driver observation.
This research revealed that drivers have high acceleration and low observation frequency under Right-Turn-On-Red (RTOR), which constituted potential danger for other roadway users, especially for pedestrians.
As speed has a direct influence on crash rates and severities, the revealed speed patterns of the different situations also benefit selection of safety countermeasures at signalized intersections.
理解驾驶员行为对于交通安全和运行至关重要,特别是在不同交通流冲突的交叉口。虽然大多数驾驶员行为研究都是基于模拟的,但本文通过 SHRP2 自然驾驶研究(NDS)数据记录和分析了信号交叉口的驾驶员行为。本研究分析了影响右转驾驶员操作(速度控制)和观察的不同因素。
共使用了 6 个信号交叉口的 300 个 NDS 行程,包括 NDS 时间序列传感器数据、前向视频和驾驶员面部视频。研究了驾驶员、车辆、道路和环境的不同因素对驾驶员行为的影响。开发了一个影响指数函数,并为每个影响因素计算了指数,以定量描述其影响程度。该指数用于对因素进行优先级排序,这有助于开发和选择安全措施以提高交叉口安全性。考虑到优先级因素,分析了不同条件下驾驶员的速度控制情况。
车辆类型、交通信号状态、冲突交通、冲突行人以及驾驶员年龄组被确定为影响驾驶员观察的五个主要因素。
本研究表明,驾驶员在右转红灯(RTOR)情况下加速高而观察频率低,这对其他道路使用者构成潜在危险,尤其是对行人。
由于速度直接影响碰撞率和严重程度,因此不同情况下揭示的速度模式也有助于选择信号交叉口的安全措施。