An automated GPS-based prompted recall survey with learning algorithms

作     者：Auld, Joshua Williams, Chad Mohammadian, Abolfazl (Kouros) Nelson, Peter 

作者机构：Univ Illinois Dept Civil & Mat Engn Chicago IL 60607 USA Univ Illinois Dept Comp Sci Chicago IL 60607 USA 

出 版 物：《TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH》 (国际交通运输研究杂志)

年 卷 期：2009年第1卷第1期

页      面：59-79页

核心收录：

学科分类：08[工学] 0823[工学-交通运输工程] 

主　　题：Global Positioning System Survey Methods Learning Algorithms Travel Survey Travel Behavior Prompted Recall 

摘      要：Using GPS technology in the collection of household travel data has been gaining importance as the technology matures. This paper documents recent developments in the field of GPS travel surveying and ways in which GPS has been incorporated into or even replaced traditional household travel survey methods. A new household activity survey is presented which uses automated data reduction methods to determine activity and travel locations based on a series of heuristics developed from land-use data and travel characteristics. The algorithms are used in an internet-based prompted recall survey which utilizes advanced learning algorithms to reduce the burden placed on survey respondents. Initial results of a small pilot study are discussed and potential areas of future work are presented.