GPS-enabled automated data collection for studying individuals' activity-travel behavior

Bingxia Sun, Donggen Wang, Linyuan Xia

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

Global Positioning System (GPS) techniques have been utilized for collecting travel behavior data for a number of years. However, they often suffer from signal loss and signal blockage particularly in urban canyon environments. These problems prevent the GPS-based data collection system from providing seamless temporal and spatial data on human's activity-travel trajectories. Based on an overview of the problems and issues related to the application of GPS technologies for collecting data on individuals' activity-travel behavior, this paper proposes a data collection system that combines GPS and ground-based positioning technologies to provide continuous spatio-temporal information on a moving object in both indoor and outdoor environments. Methods for extracting activity-travel data from the continuous spatio-temporal information and visualizing the data are also suggested.

Original languageEnglish
Title of host publicationProceedings of the 14th HKSTS International Conference
Subtitle of host publicationTransportation and Geography
Pages95-104
Number of pages10
Publication statusPublished - 2009
Event14th HKSTS International Conference: Transportation and Geography - Kowloon, Hong Kong
Duration: 10 Dec 200912 Dec 2009

Publication series

NameProceedings of the 14th HKSTS International Conference: Transportation and Geography
Volume1

Conference

Conference14th HKSTS International Conference: Transportation and Geography
Country/TerritoryHong Kong
CityKowloon
Period10/12/0912/12/09

Scopus Subject Areas

  • Transportation

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