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Sensors 2018, 18(1), 87; https://doi.org/10.3390/s18010087

A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection

Department of Computer Engineering, Yildiz Technical University, 34220 Istanbul, Turkey
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Received: 30 November 2017 / Revised: 18 December 2017 / Accepted: 25 December 2017 / Published: 30 December 2017
(This article belongs to the Special Issue Sensors for Transportation)
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Abstract

Transportation planning and solutions have an enormous impact on city life. To minimize the transport duration, urban planners should understand and elaborate the mobility of a city. Thus, researchers look toward monitoring people’s daily activities including transportation types and duration by taking advantage of individual’s smartphones. This paper introduces a novel segment-based transport mode detection architecture in order to improve the results of traditional classification algorithms in the literature. The proposed post-processing algorithm, namely the Healing algorithm, aims to correct the misclassification results of machine learning-based solutions. Our real-life test results show that the Healing algorithm could achieve up to 40% improvement of the classification results. As a result, the implemented mobile application could predict eight classes including stationary, walking, car, bus, tram, train, metro and ferry with a success rate of 95% thanks to the proposed multi-tier architecture and Healing algorithm. View Full-Text
Keywords: transport mode detection; post-processing; smartphone; accelerometer; gyroscope; magnetometer; correction of misclassified vehicle types; pedestrian and vehicular activities transport mode detection; post-processing; smartphone; accelerometer; gyroscope; magnetometer; correction of misclassified vehicle types; pedestrian and vehicular activities
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Guvensan, M.A.; Dusun, B.; Can, B.; Turkmen, H.I. A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection. Sensors 2018, 18, 87.

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