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Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: A driving simulator study

机译:在有管理车道的高速公路交织部分调查驾驶员的强制换道行为:驾驶模拟器研究

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Managed lanes (MLs) system has been widely implemented on freeways to mitigate congestion and improve efficiency. MLs are usually designed as concurrent with general-purpose lanes (GPLs), and separated by a barrier or painted stripe with several at-grade ingresses and egresses. However, these kinds of designs may result in weaving segments between ingress (egress) and on-ramp (off-ramp). For example, vehicles from on-ramp must cross multiple GPLs to get access to the ML This study aims to investigate the safety effects of weaving length, traffic condition, and driver characteristics on drivers' mandatory lane change behavior based on a driving simulator study. Mixed factorial design with two within-subject factors (traffic volume: off-peak and peak; speed harmonization (SH): SH and Non-SH) and one between-subject factor (weaving length per lane change (L-LC): 600 feet, 1000 feet, and 1400 feet) were employed in this study. Fifty-four licensed drivers were recruited to conduct this driving simulator experiment. Based on the experimental data, three lane change decision metrics (i.e., lane change merging gap, duration, and patience time), three lane change execution metrics (i.e., maximum longitudinal deceleration, lateral acceleration, and steering wheel angle), and two surrogate-safety metrics (i.e., number of conflicts and time exposed time-to-collision) were analyzed. Results indicated that for the ingress of MLs (entrance weaving segment), 1000 feet L-LC would be recommended if the space is limited, otherwise 1400 feet L-LC is preferable. For the egress of MLs (exit weaving segment), however, only 1000 feet L-LC. was recommended since 1400 feet L-LC was found to be significantly more dangerous than 600 and 1000 feet L-LC. Moreover, peak traffic condition could significantly increase the difficulty of lane change behavior on the weaving segments, and speed harmonization could significantly improve the lane change safety on the entrance weaving segments. Published by Elsevier Ltd.
机译:在高速公路上已广泛实施了管理车道(MLs)系统,以缓解拥堵并提高效率。机器学习通常被设计为与通用车道(GPL)并发,并被障碍物或带有多个入口和出口的彩绘条纹所分隔。但是,这些类型的设计可能会导致在入口(出口)和入口匝道(出口匝道)之间编织段。例如,来自匝道的车辆必须通过多个GPL才能获得ML。该研究旨在基于驾驶模拟器研究,研究编织长度,交通状况和驾驶员特征对驾驶员强制性车道改变行为的安全影响。混合因子设计,具有两个对象内因子(业务量:非高峰和峰值;速度协调(SH):SH和非SH)和一个对象间因子(每次车道变换的编织长度(L-LC):600)英尺,1000英尺和1400英尺)用于这项研究。招募了54名获得许可的驾驶员来进行此驾驶模拟器实验。基于实验数据,三个车道变更决策指标(即,车道变更合并间隔,持续时间和耐心时间),三个车道变更执行指标(即,最大纵向减速度,横向加速度和方向盘角度)以及两个替代指标-分析了安全性指标(即冲突数量和暴露于冲突中的时间)。结果表明,对于ML(入口编织段)的进入,如果空间有限,建议使用1000英尺L-LC,否则建议使用1400英尺L-LC。但是,对于ML(出口编织段)的出口,只有L-LC为1000英尺。建议使用1400英尺L-LC比600和1000英尺L-LC危险更大。此外,高峰交通状况会显着增加交织段上车道变更行为的难度,而速度协调可显着提高入口织造段上车道变更的安全性。由Elsevier Ltd.发布

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