<i>ANOVA</i>^a.

In order to further study the expansion characteristics of left-turning non-motorized vehicles at intersections and the relationship between expansion characteristics and vehicle-bicycle conflicts, the trajectory point data of left-turning non-motorized vehicles are extracted using video trajectory tracking technology, and construct the cubic curve expansion envelope equation with the highest fitting degree. For the purpose of quantifying the expansion degree of non-motor vehicles after starting, two intersections in Guangxi Zhuang Autonomous Region were selected for case analysis, and the numerical range of expansion degree of the intersection with a left-turn waiting area and the intersection without a left-turn waiting area was obtained. Study the mathematical relationship between the expansion degree and its influencing factors, and establish the multivariate nonlinear regression equation between the expansion degree and the left-turn non-motorized vehicle flow, the number of parallel non-motorized vehicles, and the left-turn green light time. Analyze the vehicle-bicycle conflicts caused by the expansion of left-turning non-motorized vehicles, determine the essential factors affecting the number of non-motorized vehicles, and establish the multiple linear regression equation between the number of non-motorized vehicles and the number of left-turning non-motorized vehicles, the expansion degree, and the number of parallel non-motorized vehicles, the results show that the model has high accuracy. By analyzing the expansion characteristics of left-turning non-motorized vehicles at intersections, the relationship between different influencing factors and the expansion degree is obtained. Then the vehicle-bicycle conflicts under the influence of expansion characteristics is analyzed, providing theoretical ideas for improving traffic efficiency and optimizing traffic organization at intersections.为深入研究交叉口左转非机动车（left-turning non-motorized vehicles）的扩张特性及其与机非冲突的关联关系，本研究采用视频轨迹追踪技术（video trajectory tracking technology）提取左转非机动车的轨迹点数据，并构建拟合度最优的三次曲线扩张包络方程（cubic curve expansion envelope equation）。为量化非机动车启动后的扩张程度，选取广西壮族自治区两处交叉口开展案例分析，分别得到设置左转等待区（left-turn waiting area）与未设置左转等待区的交叉口扩张程度数值区间。研究扩张程度与各影响因素间的数学关系，建立扩张程度与左转非机动车流量、并行非机动车数量及左转绿灯时长之间的多元非线性回归方程（multivariate nonlinear regression equation）。分析左转非机动车扩张引发的机非冲突（vehicle-bicycle conflicts）问题，明确影响非机动车冲突数的核心因素，并构建冲突数与左转非机动车数量、扩张程度及并行非机动车数量之间的多元线性回归方程（multiple linear regression equation），经检验该模型具有较高精度。通过分析交叉口左转非机动车的扩张特性，明确各类影响因素与扩张程度的关联机制，进一步探究扩张特性影响下的机非冲突场景，为提升交叉口通行效率、优化交通组织方案提供理论支撑。