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Identify of bus incident reason based on Fuzzy cluster analysis

机译:基于模糊聚类分析的公交车事故原因识别

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In the course of the operation of bus system, once the bus incident occurs, bus dispatch center needs to develop real-time adjustment measures. Identify the courses of the incident is the basis for development online dispatching measure, the paper researches the measures of bus incident auto-detection and identification the courses led to incident. According to bus location and speed information collecting from GPS satellite positioning system, compare the actual running situation and driving program, study the method of bus incident auto-detection. According to bus stations passenger data and sections occupancy data when bus incident occurring, using Fuzzy cluster analysis method to study the measure of identifying the courses led incident. According to bus operation data comes from a bus line in shanghai, calculate the similarity of validation sample and history typical sample to identify the courses led to bus incident, and compare the simulation results with actual situation. The comparison shows the fuzzy cluster analysis is an effective method to apply into identifying the courses led bus incident.
机译:在公交系统运行过程中,一旦发生公交事故,公交调度中心就需要制定实时的调整措施。确定事件的过程是制定在线调度措施的基础,本文研究了公共汽车事件自动检测的措施,并确定了导致事件发生的过程。根据GPS卫星定位系统采集的公交车位置和速度信息,比较实际运行情况和行驶程序,研究公交车事件自动检测方法。根据公交车站发生的客运数据和路段占用数据,运用模糊聚类分析方法研究了确定路线导致事故的措施。根据上海公交线路的公交运行数据,计算验证样本与历史典型样本的相似度,确定导致公交事故的路径,并将仿真结果与实际情况进行比较。比较表明,模糊聚类分析是一种有效的方法,可用于识别路线导致的公交车事故。

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