基于多元数据的货车OD获取方法研究
Research on Truck OD Acquisition Method Based on Multi-Source Data
DOI: 10.12677/OJTT.2014.32007, PDF, HTML, 下载: 2,387  浏览: 6,694 
作者: 何 辉:乌鲁木齐市公安局交通警察支队,乌鲁木齐;洪智勇:同济大学交通运输工程学院,上海
关键词: 多元数据货车OD方法Multi-Source Data; Truck OD; Method
摘要: 借鉴传统客运“四阶段”预测方法的货车交通预测方法较之于传统的宏观预测方法更能体现研究区域内货运量与货车交通之间的关系。但是货车OD获取难度大,国内研究几为空白,从而限制了上述方法的应用。基于此,本文结合乌鲁木齐经济技术开发区的实际情况,根据从多种口径调查得到的数据,研究分析如何获取货车OD的方法。
Abstract: Compared to traditional macroeconomic forecasting methods, "four stages" truck traffic forecasting methods learning from traditional passenger "four stages" method is better reflecting the relationship within the study area between the cargo and truck traffic. However, it is difficult to get truck OD, and the domestic research is nearly blank, thus limiting the application of the above methods. Based on this, combined with the actual situation in the Urumqi Economic and Technological Development Zone, this article studies how to get the truck OD according to the survey data obtained from a variety of sources.
文章引用:何辉, 洪智勇. 基于多元数据的货车OD获取方法研究[J]. 交通技术, 2014, 3(2): 33-40. http://dx.doi.org/10.12677/OJTT.2014.32007