基于一卡通数据的公交站点识别方法分析与研究

针对大众公共交通高峰期部分站点上车难等问题，通过分析一卡通大数据来推断上车站点客流，提前预知客流分布状况，以缓解城市公共交通出行压力.本文采取了一种基于IC卡数据的聚类分析方法，建立了数据模型来推算上下班高峰期公交线路站点的客流，并对测算结果进行对比分析.最后提出包括开行区间车、大站快车等改善交通运营的相关措施，为城市交通部门的公交线路设计和综合交通规划提供一定的指引，确保城市居民日常乘车的便捷性和舒适性.

A Study of the Method of Bus Station Recognition Based on IC Card Data

With the rapid growth of urban population, the travel demand of public transportation of citizens also rises, which easily causes problems such as difficulty in getting on at some stations during rush hours. It is of great significance to relieve the pressure of urban public transportation by analyzing the big data of IC card to deduce the passenger flow at the boarding station and predict the distribution of passenger flow in advance. For more targeted research on dynamic passenger flow distribution of stations, a kind of clustering analysis method is adopted based on IC card data, through the establishment of data model of bus lines and stations of rush hour traffic, to analyze the measured results, and finally measures are put forward to improve traffic operation, including dispatching station express, shuttle bus and other measures, ensuring urban residents ease and comfort in daily bus ride and at the same time providing guidance for the city traffic department on bus lines design and comprehensive transport planning.