Processing GPS data from travel surveys

Peter Stopher · Qingjian Jiang · Camden FitzGerald

92 citations0/0 files storedTransport Research Forum

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Human Mobility and Location-Based Analysis Transportation Planning and Optimization Data Management and Algorithms

Abstract

In this paper, the authors have described a series of procedures that have been developed to manipulate data collected from GPS devices carried by people or placed in personal vehicles, and used to produce records of the trips made over a period of days or weeks. By setting up various algorithms and rules, the authors have found it to be possible to break the data up into trips with approximately a 95 percent correct rating in identifying real trips. The authors were able to obtain a more complete picture of where a person/vehicle travelled while they had the GPS device. Finally, procedures were developed to allow the impute the mode and purpose of the majority of the recorded trips. (a) For the covering entry of this conference, please see ITRD abstract no. E213716.

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2000Global Positioning System as Data Collection Method for Travel Research

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2007Assessing the accuracy of the Sydney Household Travel Survey with GPS 2015Developing advanced route choice models for heavy goods vehicles using GPS data 2019Developing a passive GPS tracking system to study long-term travel behavior 2015Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area 2019Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier 2021Review and evaluation of methods in transport mode detection based on GPS tracking data 2015Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment 2014Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys

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