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《城市交通》杂志
2019年 第6期
基于GPS 数据的公共汽车GIS 数据库自动更新研究
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文章编号: 1672-5328(2019)06-0071-09

周韬,高杨斌
(杭州市综合交通研究中心,浙江杭州310006)

摘要: 公共汽车地理信息数据库的及时更新对于智能化监测、管理以及信息发布至关重要,以往人 工开展这项工作费时费力且常有疏漏。与此相反,公共汽车车载全球定位系统(GPS)数据及相关大 数据分析方法具有快速、实时、全覆盖的优点。以公共汽车GPS数据以及其他静态信息为基础,以 ArcGIS二次开发为手段,通过不同场景下公共汽车运行轨迹特征分析、公共汽车线网空间要素分析 等步骤,建立了一套相对高效率且低成本的公共汽车地理信息数据库更新方法。该方法可有效识别 公共汽车线路走向变更及车站变更。最后,以杭州市数据为例,对该方法的具体操作过程以及计算 结果进行详细说明。

关键词: 交通管理;公共交通;公共汽车GPS数据;GIS数据库;ArcGIS

中图分类号: U491.1+7

文献标识码:A

Auto-Update GIS Database Based on the GPS Data of Bus Transit

Zhou Tao, Gao Yangbin
(Hangzhou Comprehensive Transport Research Center, Hangzhou Zhejiang 310006, China)

Abstract: Updating the Geographic Information System (GIS database) of bus transit plays a crucial role in the intelligent monitoring and detection, management and information distribution. The manual updating methods used in the past are expensive, labor intensive and error-prone. In contrast, the built- in GPS on buses and relevant big data analysis methods can update the information of the entire bus transit system fast and in real-time. Based on the bus GPS data and other static (non-time dependent) information, this paper proposes an effective and cost-saving approach for updating the GIS database by a program developed on the ArcGIS platform, which can analyze the characteristics of bus routing under different scenarios and the spatial layout of bus transit networks. This method can effectively identify the change of bus routes and stops. Finally, taking Hangzhou as an example, the paper elaborates the operation procedures and calculation results using the method.

Keywords: traffic management; public transportation; bus GPS data; GIS database; ArcGIS