摘要
大数据技术为交通规划研究提供了全面、连续、易获取的数据来源,文章以双流为例,基于手机信令数据和车载GPS数据,具体阐述了数据采集和处理的基本方法流程,以及在综合交通规划中的应用实践,主要体现在居民出行特征分析、交通需求模型校核、职住分布和货运联系通道识别等方面。在继承传统交通规划理论方法的基础上,将多源大数据应用于统一的规划体系中,将有力地推动大数据时代城市交通规划理论和技术的创新和发展。
Big data technology provides a comprehensive,continuous,and easily accessible source of data for transportation planning research. Taking Shuangliu District as an example, based on cellular signaling data and vehicle-mounted GPS data,this paper describes the basic method of data acquisition and processing,and the application practice in comprehensive transportation planning. The application is mainly reflected in the trip characteristics analysis,traffic demand model verification, occupation and residence distribution,freight channel identification. On the basis of inheriting the traditional traffic planning theory,applying multi-source big data to a unified planning system will effectively promote the innovation and development of transportation planning theory and technology.
作者
管娜娜
田苗
GUAN Na-na;TIAN Miao
出处
《智能城市》
2019年第15期14-17,共4页
Intelligent City
关键词
城市交通
综合交通规划
手机信令数据
车载GPS数据
居民出行特征
urban transport
comprehensive transportation planning
cellular signaling data
vehicle-mounted GPS data
trip characteristics
