乌鲁木齐市居民出行调查数据综合校核扩样方法研究

居民出行调查是科学制定城市交通发展战略、政策等,在交通规划中需要的最基础的资料之一,为交通需求模型的建立和交通规划方案制定提供了重要依据。在日益丰富的自动化采集数据的支持下,提高居民出行数据扩样的精度一直是研究的重点。本文对居民出行校核扩样作为一个多目标优化问题进行研究,给出了综合校核扩样流程算法,并以乌鲁木齐2014年调查数据为例,论述了算法和流程在乌鲁木齐居民出行综合扩样校核的应用情况,取得了良好的效果。

Household Interview Survey （HIS） is the key for transport strategy and policy development, it is also the fundamen- tal data for transport planning and transport modeling. With the support of a variety of automatic data collection system, it is now become possible to improve the quality of HIS data expansion. This paper introduces the Multi- Objective Optimization method for HIS data expansion, this method has been used to process Urumqi 2014 HIS data and the results is promising.