基于时依等比例风险回归模型的换道时长影响因素

Factors Affecting Lane-changing Duration Based on Time-dependent Proportional-hazards Regression Model

摘要:

研究了基于时依等比例风险回归模型的换道时长（LCD）影响因素。利用开源HighD数据集，提取了560条完整的换道（LC）轨迹，对整体换道时长分布进行了非参数估计；引入时依等比例风险回归模型，对当前车辆换道时长的影响因素进行分析。结果表明：大部分驾驶员在3~8 s内完成换道行为；共有6个变量显著影响换道时长，其中最为关键的为当前车辆自身车速，同时当前车道的前车与目标车道的后车对换道时长的影响也非常显著。

Abstract:

Based on the time-dependent proportional-hazards regression model， factors affecting lane-changing duration（LCD） are studied. Five hundred and sixty complete lane-changing （LC） trajectories are extracted from the newly opened HighD dataset， and the overall distribution of lane-changing duration is estimated using the non-parametric estimator. Then， the time-dependent proportional-hazards regression model is introduced to analyze the factors affecting LCD. It is found that most drivers finish LC in 3?8 s. There are six variables， of which the most important one is current vehicle’s speed. Additionally， the preceding vehicle in current lane and the following vehicle in target lane have significant effects on LCD.