Paper Info
Title
Threshold settings for TRIP/STOP detection in GPS traces.
Abstract
This paper presents two methods to extract stops and trips from GPS traces: the first one focuses on periods of non-movement (stops) and the second one tries to identify the longest periods of movement (trips). A stop corresponds to a location where the individual halts with the intention to perform an activity. In order to assert the quality of both methods, the results are compared to cases where the stops and trips are known by other means. First a set of traces was used for which the stops were identified by the traveler by means of a visual tool aimed at alignment of manually reported periods in the diary to automatically recorded GPS coordinates. Second, a set of synthetic traces was used. Several quality indicators are presented; they have been evaluated using sensitivity analysis in order to determine the optimal values for the detector’s configuration settings. Person traces (as opposed to car traces) were used. Individual specific behavior seems to have a large effect on the optimal values for threshold settings used in both the TRIP and STOP detector algorithms. Accurate detection of stops and trips in GPS traces is vital to prompted recall surveys because those surveys can extend over several weeks. Inaccurate stop detection requires frequent corrections by the respondent and can cause them to quit.
Year
DOI
Venue
2016
10.1007/s12652-016-0360-9
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
GPS recording, Trace segmentation, Stop detection, Sensitivity analysis, Trace generation
Data mining,Computer science,Geographic coordinate system,Visual tool,Global Positioning System,Respondent,TRIPS architecture,Detector,Recall
Journal
Volume
Issue
ISSN
7
3
1868-5145
Citations 
PageRank 
References 
2
0.39
12
Authors
5
Name
Order
Citations
PageRank
Glenn Cich183.38
Luk Knapen28622.42
Tom Bellemans37323.16
Davy Janssens423838.08
Geert Wets576667.59