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Title:

A Review on the State-of-the-Art Smartphone Apps for Travel Data Collection and Energy Efficient Strategies
Cover of A Review on the State-of-the-Art Smartphone Apps for Travel Data Collection and Energy Efficient Strategies

Accession Number:

01622716

Record Type:

Component

Abstract:

Travel data collection on how people move in time and space has long been an important subject for transportation planning. Traditionally, travel data collection relies upon self-reports from the respondents. Usually, these data collection methods share some common drawbacks including respondent fatigue, missing trips, increasing costs, and declining response rates. To overcome above insufficiencies, smartphone-based surveys have emerged as a promising alternative in recent years to collect travel data and a number of such smartphone apps with different functionalities have been developed and implemented for different purposes. However, regarding the real-world implementation of apps, there are still challenges to be addressed. One fundamental concern is the battery power consumption. Since the battery power depletes rapidly from frequent and continuous operation of multiple sensors, especially the GPS receiver, the inconvenience caused by frequent battery recharge often drives away users and offsets the potential benefits of using those apps. This issue has not yet been systematically explored in the literature on travel data collection. This paper seeks to update the current knowledge of positioning and motion detection technologies on the existing apps for travel data collection and provide a state of the art discussion on the various strategies that can be implemented to preserve battery power on the smartphones.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ40 Standing Committee on Travel Survey Methods.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-00436

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Liao, Chen-Fu
Chen, Cynthia
Fan, Yingling

Pagination:

20p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References; Tables

Subject Areas:

Data and Information Technology; Highways

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-00436

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:04AM