大数据环境下的城市交通综合评估技术

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。

Comprehensive Assessment of Urban Transportation Using Big Data

The comprehensive transportation in large cities has become increasingly complicated under de-velopment conditions of urban sprawl, rail transit network and land-use. Thus, how to expand assessment area, improve assessment technology, increase assessment frequency and extend assessment perspective have become four critical issues for the traditional assessment system of urban transportation. This paper first introduces the components, characteristics and application of big data in transportation field. Consider-ing transportation data coming from a variety of sources in different format, the paper establishes a trans-portation big data analysis platform that can integrate data and identify correlation, and the various special assessment subsystems. The developed platform and subsystems can function as a comprehensive transpor-tation model system to accommodate multi-level and multi-field application demands. Finally, the paper elaborates the transition of comprehensive assessment on urban transportation in Shenzhen practice in sev-eral aspects:from urban to regional level, from macroscopic to microscopic views, from static to dynamic states, and from land to environment.