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Understanding the discretionary lane-changing behaviour in the connected environment

机译:了解关联环境中的自由判断车道改变行为

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Discretionary lane-changing (DLC) is one of the complex driving manoeuvres that requires surrounding traffic information for efficient and safe manoeuvring. The connected environment not only provides such information but also increases situational awareness, which is useful for DLC decision-making. However, the literature is devoid of any concrete evidence of such impact of the connected environment on DLC decision-making. As such, this paper analyses the effects of the connected environment on DLC behaviour. Seventy-eight participants from a diverse background performed DLCs in randomised driving conditions using the CARRS-Q advanced driving simulator. These driving conditions are: baseline (without driving messages), connected environment with perfect communication (fully functioning and uninterrupted supply of driving messages), and connected environment with communication delay (impaired communication). Various key driving behaviour indicators are analysed and compared using a linear mixed model. To analyse the effects of the connected environment on DLC decision-making, two Generalised Estimation Equation (GEE) models are developed for gap acceptance and DLC duration. In addition, a Weibull accelerated failure time hazard-based duration model is developed to investigate the impact of the connected environment on safety associated with DLC manoeuvres. We find that drivers in the connected environment have a larger spacing, larger lead and lag gaps, a longer DLC duration, and a lower acceleration noise compared to the baseline condition. The GEE model on gap acceptance reveals that drivers tend to select relatively bigger gap sizes when the connected environment offers them the subsequent gap information. Similarly, the GEE model for DLC duration suggests that the connected environment increases DLC durations by 2.22 s and 2.11 s in perfect communication and communication delay driving conditions, respectively. Finally, the hazard-based duration model provides insights into the probability of avoiding a lane-changing collision, and indicates that the probability of a lane-changing collision is less in the connected environment driving conditions than in the baseline scenario. Overall, the connected environment improves the DLC driving behaviour and enhances traffic safety.
机译:可自由判断的车道改变(DLC)是需要围绕围绕交通信息的复杂驾驶演习之一,以便有效和安全地操纵。连接的环境不仅提供此类信息,而且还增加了态势意识,这对DLC决策有用。然而,文献缺乏关联环境对DLC决策影响的任何具体证据。因此,本文分析了关联环境对DLC行为的影响。来自多个背景的七十八名参与者使用CarrS-Q高级驾驶模拟器在随机驾驶条件下执行DLC。这些驾驶条件是:基线(无驾驶消息),连接环境具有完美的通信(完全运行和驾驶消息的不间断供应),以及具有通信延迟(通信受损的通信延迟的连接环境)。使用线性混合模型进行分析和比较各种关键驾驶行为指标。为了分析连接环境对DLC决策的影响,开发了两个广义估计等式(GEE)模型用于GAP接受和DLC持续时间。此外,开发了一种基于Weibull加速故障时间危害的持续时间模型,以研究关联环境对与DLC机动相关的安全的影响。我们发现连接环境中的驱动器具有较大的间距,更大的引线和滞后差距,更长的DLC持续时间和与基线条件相比的较低的加速度噪声。差距接受的GEE模型揭示了当连接环境为它们提供后续间隙信息时,驱动程序倾向于选择相对更大的差距尺寸。类似地,用于DLC持续时间的GEE模型表明,连接环境分别在完美的通信和通信延迟驾驶条件下将DLC持续时间增加2.22 S和2.11s。最后,危险的持续时间模型提供了避免车道变化碰撞的概率的见解,并且表示在连接的环境驾驶条件中的通道变化碰撞的概率小于基线场景。总的来说,连接的环境改善了DLC驾驶行为并增强了交通安全。

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