Preprint Review Version 1 NOT YET PEER-REVIEWED

Travel mode detection based on GPS raw data collected by smartphones: a systematic review of the existing methodologies

  1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Version 1 : Received: 23 July 2016 / Approved: 25 July 2016 / Online: 25 July 2016 (06:34:26 CEST)

A peer-reviewed article of this Preprint also exists.

Wu, L.; Yang, B.; Jing, P. Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies. Information 2016, 7, 67. Wu, L.; Yang, B.; Jing, P. Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies. Information 2016, 7, 67.

Journal reference: Information 2016, 7, 67
DOI: 10.3390/info7040067

Abstract

Over the past couple of decades, Global positioning system (GPS) technology has been utilized to collect large-scale data from travel surveys. As the precise spatiotemporal characteristics of travel could be provided by GPS devices, the issues of traditional travel survey, such as misreporting and non-response, could be addressed. Considering the defects of dedicated GPS devices (e.g., need much money to buy devices, forget to take devices to collect data, limit the simple size because of the number of devices, etc.), and the phenomenon that the smartphone is becoming one of necessities of life, there is a great chance for the smartphone to replace dedicated GPS devices. Although, several general reviews have been done about smartphone-based GPS travel survey in the literature review section in some articles, a systematic review from smartphone-based GPS data collection to travel mode detection has none. The included studies were searched from six databases. The purpose of this review is to critically assess the current literature on the existing methodologies of travel mode detection based on GPS raw data collected by smartphones. Meanwhile, according to the systematic comparison among different methods from data-preprocessing to travel mode detection, this paper could carefully provide the Strengths and Weaknesses of existing methods. Furthermore, it is the crucial step to develop the methodologies and applications of GPS raw data collected by smartphones.

Subject Areas

travel mode detection; GPS raw data; smartphones

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