基于道路拓扑的交通基础地理信息元数据模型研究
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摘要
随着大数据技术的快速发展,许多城市建立了交通大数据平台或系统。为了进一步提升大数据平台实时分析、跨模块联合挖掘、混合结构数据查询和全局交通评价效率,从面向应用的底层基础工作出发,构建一种基于道路拓扑的面向交通大数据应用的交通基础地理信息编码方法。该编码将实体所处的地理范围作为道路和交通资源的位置联系,通过建立交通大数据基础地理信息元数据,适用于复杂交通业务下数据多次加载和交叉引用的大数据应用需求,对现有基础地理信息编码方法进行了升级与优化,并给出了具体实现方法和软件实例,具有重要的实用参考价值。
With the rapid development of big data technology, many cities have built big data platforms or systems for transportation. We construct a traffic geographic information coding method based on road topology for big traffic data applications, in order to improve the real-time analysis of large data platform, cross module joint mining, mixed structure data query and the efficiency of global traffic evaluation. This coding method can link the geographical scope of the entity as the location of the road and the traffic resource by establishing the metadata of the large data base geographic information. The new coding model is suitable for the large data application which includes requirements of multiple loading and cross reference in complex traffic business, and the existing basic geographic information coding method is upgraded and optimized. Also the implementation plan and instance of software concrete process is showed. Which has important practical reference value.
With the rapid development of big data technology, many cities have built big data platforms or systems for transportation. We construct a traffic geographic information coding method based on road topology for big traffic data applications, in order to improve the real-time analysis of large data platform, cross module joint mining, mixed structure data query and the efficiency of global traffic evaluation. This coding method can link the geographical scope of the entity as the location of the road and the traffic resource by establishing the metadata of the large data base geographic information. The new coding model is suitable for the large data application which includes requirements of multiple loading and cross reference in complex traffic business, and the existing basic geographic information coding method is upgraded and optimized. Also the implementation plan and instance of software concrete process is showed. Which has important practical reference value.
引文
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[10]侯志通.条带状公路运营管理空间大数据降维组织及混合存储关键技术研究[D].浙江大学博士论文.
[11]朱扬勇,何承.城市交通大数据[M].上海科技出版社,2014.
[2]周海淞,朱茵,陆化普.支撑交通管理综合信息平台的信息挖掘模型[J].交通运输工程与信息学报,2005,3(2):27-33.
[3]江绵康.上海市基础地理要素编码标准编制研究[J].地理与地理信息科学,2006,22(2):1-4.
[4]何波,陈旭梅,于雷,等.城市道路编码标准与编码方法研究综述[J].道路交通与安全,2009(5):27-31.
[5]阮永华,石征华.城市网络智能交通综合管控平台研究与设计[J].交通与运输,2012(H12):103-106.
[6]王辉,林垚,周紫君.基于元数据的交通运输科学数据共享平台设计[J].交通信息与安全,2008,26(2):86-89.
[7]程宇翔,梁均军.城市交通综合信息平台GIS-T数据组织关键技术[J].地理空间信息,2012(4):69-72.
[8]Zandbergen P A.A comparison of address point,parcel and street geocoding techniques[J].Computers,Environment and Urban Systems,2008,32(3):214-232.
[9]余靖毅,邬伦,高勇.基于Storm的地理编码引擎[J].地球信息科学学报,2015,17(12):1431-1441.
[10]侯志通.条带状公路运营管理空间大数据降维组织及混合存储关键技术研究[D].浙江大学博士论文.
[11]朱扬勇,何承.城市交通大数据[M].上海科技出版社,2014.