大数据环境下的城市交通综合评估技术

发布时间：2018-03-26 08:09

本文选题：交通规划　切入点：交通模型　出处：《城市交通》2015年03期

【摘要】：伴随城市蔓延、轨道交通成网、用地开发等发展条件,大城市综合交通环境日益复杂。如何拓展评估边界、深化评估技术、提升评估频率和延伸评估视角成为传统城市交通评估技术体系面临的四个关键问题。首先介绍交通领域大数据的组成、特征及应用情况。通过深度挖掘交通运行产生的多源异构数据,建立集统计、关联、预测于一体的交通大数据分析平台和专题评估子系统,形成面向多层次、多领域应用需求的一体化综合交通模型体系。最后,基于深圳市的应用实践情况,阐述城市交通综合评估技术从城市到区域、从宏观到微观、从静态到动态、从土地到环境的转变。
[Abstract]:With the development conditions of urban sprawl, rail transit networking and land use development, the comprehensive transportation environment in big cities is becoming more and more complicated. How to expand the evaluation boundary and deepen the evaluation technology, Enhancing the frequency of evaluation and extending the perspective of assessment have become the four key issues facing the traditional urban traffic assessment technology system. First, the composition of big data in the field of transportation is introduced. Characteristics and applications. Through deep mining of multi-source heterogeneous data generated by traffic operation, traffic big data analysis platform and thematic evaluation subsystem are established, which are integrated with statistics, association and prediction, and form multi-level oriented, multi-level, multi-level, multi-level, multi-level, multi-level, multi-level, multi-level, multi-level, Finally, based on the application practice of Shenzhen City, the comprehensive evaluation technology of urban traffic from city to region, from macro to micro, from static to dynamic, is expounded. The transition from land to environment.
【作者单位】：深圳市城市交通规划设计研究中心;
【基金】：国家自然科学基金委员会面上项目“快速城市化地区基于土地利用的居民出行碳排放机理与模拟研究——以深圳为例”(41371169)
【分类号】：U491

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