The invention provides an intelligent bus scheduling method based on big data. The method comprises the following steps: initializing an urban public transit network index; based on a bus big data system, counting urban people gathering area data; the urban people gathering area data comprises gathering area population quantity, area importance, gathering and distributing places and transportation hubs; calculating aggregation area mass points according to the urban personnel aggregation area data; calculating bus stops and bus route directions associated with the urban people gathering area according to the mass points of the gathering area; according to the bus station and the bus route direction, optimizing the urban bus network index to obtain the optimal urban bus network index; and determining an urban public transportation scheduling scheme according to the optimal urban public transportation network index. The method solves the problems that in the prior art, due to the fact that the living dynamic state of urban population is not mastered, bus stops and lines are not scientific and unreasonable in arrangement, line coverage is not comprehensive, residents are inconvenient to take the bus and transfer, and the operation cost of a bus network is high.
本发明提供一种基于大数据的公交智能调度方法。本发明包括:初始化城市公交线网指标;基于公交大数据系统,统计城市人员聚集区域数据;城市人员聚集区域数据,包括聚集区域人口数量、区域重要度、集散地、交通枢纽;根据城市人员聚集区域数据计算聚集区域质点;根据聚集区域质点,计算城市人员聚集区域关联的公交站点和公交线路走向;通过公交站点和公交线路走向,优化城市公交线网指标,获得最优城市公交线网指标;根据最优城市公交线网指标确定城市公交调度方案。本发明解决了现有技术中,因对城市人口居住动态不掌握,导致公交站点、线路设置不科学、不合理,造成线路覆盖不全面、居民乘车换乘不方便、公交线网运营成本高等问题。
Bus intelligent scheduling method based on big data
一种基于大数据的公交智能调度方法
2022-06-10
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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