基于ESE的城市主干道交通事件分析--一种时间窗长度适中的方法
Traffic incident analysis on urban arterials using ESE: A method for moderate length of time window
摘要：
适当的时间窗长度可以使扩展谱包络检测关键事件时刻的精度达到最佳。本文提出了一种计算时间窗适度长度的方法。主要考虑了两个因素：（1）有效垂线由特征向量的负元素组成;（2）最小的中断量。将特征向量的元素转化为二进制变量，以消除正元素的干扰。引入正弦变换来突出负元素的重要垂直线。提出了一种新的质量指数（QI）来衡量不同时间窗长度的效果。通过对北京市四个实际交通事件的实证研究，验证了该方法的有效性。
英文摘要：
Moderate length of time window can get the best accurate result in detecting the key incident time using extended spectral envelope. This paper presents a method to calculate the moderate length of time window. Two factors are mainly considered: (1) The significant vertical lines consist of negative elements of eigenvectors; (2) the least amount of interruption. The elements of eigenvectors are transformed into binary variable to eliminate the interruption of positive elements. Sine transform is introduced to highlight the significant vertical lines of negative elements. A novel Quality Index (QI) is proposed to measure the effect of different lengths of time window. Empirical studies on four real traffic incidents in Beijing verify the validity of this method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
