基于GPS的常规公交拥堵路段识别与分析

Identification and Analysis of Normal Public Transit Congestion Section Based on Gps

常规公交拥堵路段识别对于科学分析公交运营状况、改善公交服务水平具有重要意义。首先分析了公交拥堵指标,构建了基于公交GPS的站点区间运行状态评价标准。在此基础上,将大数据技术和公交GPS信息相结合,开发了常规公交拥堵路段查询系统;基于公交拥堵识别指标,设计了拥堵识别模型和拥堵原因判别模型;最后,以武汉公交数据为基础对系统和模型进行了实际应用。应用效果表明,该系统具有较高的准确度和较强的实用性。

Identification of normal public transit congestion is important to analyze normal public transit operation status and improve the level of normal public transit service.Normal public transit congestion indexes were analyzed. Then, standard of traffic operation evaluation was constructed based on GPS of normal public transit. On that basis, normal public transit congestion query system was developed combining the big data technology with bus GPS information. Based on congestion indexes, congestion identification model and congestion reason discrimination model were designed. Lastly, the system and model were put into practice based on the data of Wuhan transit data. Result indicated that the system had high accuracy and strong practicability.