Analytics of movement through checkpoints

Tao, Y, Both, A and Duckham, M 2018, 'Analytics of movement through checkpoints', International Journal of Geographical Information Science, vol. 32, no. 7, pp. 1282-1303.


Document type: Journal Article
Collection: Journal Articles

Title Analytics of movement through checkpoints
Author(s) Tao, Y
Both, A
Duckham, M
Year 2018
Journal name International Journal of Geographical Information Science
Volume number 32
Issue number 7
Start page 1282
End page 1303
Total pages 22
Publisher Taylor and Francis
Abstract This article concerns the opportunities for analysis of data about movement past spatial checkpoints. Checkpoint data are generated by an objects movement past fixed sensors (checkpoints) distributed throughout geographic space. Example sources of checkpoint data include road-toll gantries, social media check-ins, WiFi hotspots, access swipe cards, and public transport smart cards. Many existing movement analytics techniques, which frequently rely on precise coordinate locations, are ill-suited to the inherent and variable spatial granularity of checkpoint data. However, this spatial granularity also brings advantages in linking movement more closely to its environmental context, in particular the characteristics of the regions through which an object is moving. In this article, we propose a general model for representing checkpoint data of moving objects, based on two fundamentally different types of sensors: transaction and presence. Experiments using real movement data illustrate the diversity of queries that can be efficiently supported by our model. An example movement classification task, identifying vehicle type from checkpoint data recording vehicle movement, provides an illustration of the opportunities for more closely linking movement with its environmental context through the use of checkpoint data analysis. © 2017 Informa UK Limited, trading as Taylor & Francis Group.
Subject Pattern Recognition and Data Mining
Information Systems Development Methodologies
Geospatial Information Systems
Keyword(s) context awareness
data modeling
imprecision
movement analytics
movement classification
Spatial checkpoint
DOI - identifier 10.1080/13658816.2017.1397675
Copyright notice © 2017 Informa UK Limited, trading as Taylor & Francis Group.
ISSN 1365-8816
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