Mobile Device-Based Train Ride Comfort Measuring System
As an important train performance quality, comfort depends on vibration and noise data measured on a running train. Traditional vibration and noise measurement tools are facing challenges in terms of collecting big data, portability, and cost. With the continuous upgrade of mobile terminal hardware,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/14/6904 |
| _version_ | 1827619221254701056 |
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| author | Yuwei Hu Lanxin Xu Shuangbu Wang Zhen Gu Zhao Tang |
| author_facet | Yuwei Hu Lanxin Xu Shuangbu Wang Zhen Gu Zhao Tang |
| author_sort | Yuwei Hu |
| collection | DOAJ |
| description | As an important train performance quality, comfort depends on vibration and noise data measured on a running train. Traditional vibration and noise measurement tools are facing challenges in terms of collecting big data, portability, and cost. With the continuous upgrade of mobile terminal hardware, the built-in sensors of mobile phones have the ability to undertake relatively complex data measurement and processing tasks. In this study, a new type of train comfort measurement system based on a mobile device is developed by using a built-in sensor to measure the vibration and noise. The functions of the developed system include the real-time display of three-way vibration acceleration, lateral and vertical Sperling indicators, sound pressure level, and train comfort-related data storage and processing. To verify the accuracy of the mobile device-based train ride comfort measuring system (DTRCMS), a comparison of test results from this system and from the traditional measuring system is conducted. The comparison results show that the DTRCMS is in good agreement with the traditional measuring system. The relative error in three-direction acceleration and Sperling values is 2~10%. The fluctuation range of the noise measured by DTRCMS is slightly lower than that of the professional noise meter, and the relative error is mainly between 1.5% and 4.5%. Overall, the study shows that using mobile devices to measure train comfort is feasible and practical and has great potential for big data-based train comfort evaluation in the future. |
| first_indexed | 2024-03-09T10:23:09Z |
| format | Article |
| id | doaj.art-578199da1848469b9debd0c00325152c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T10:23:09Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-578199da1848469b9debd0c00325152c2023-12-01T21:50:40ZengMDPI AGApplied Sciences2076-34172022-07-011214690410.3390/app12146904Mobile Device-Based Train Ride Comfort Measuring SystemYuwei Hu0Lanxin Xu1Shuangbu Wang2Zhen Gu3Zhao Tang4Traction Power National Key Laboratory, Southwest Jiaotong University, Chengdu 610031, ChinaTraction Power National Key Laboratory, Southwest Jiaotong University, Chengdu 610031, ChinaInstitute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, ChinaTraction Power National Key Laboratory, Southwest Jiaotong University, Chengdu 610031, ChinaTraction Power National Key Laboratory, Southwest Jiaotong University, Chengdu 610031, ChinaAs an important train performance quality, comfort depends on vibration and noise data measured on a running train. Traditional vibration and noise measurement tools are facing challenges in terms of collecting big data, portability, and cost. With the continuous upgrade of mobile terminal hardware, the built-in sensors of mobile phones have the ability to undertake relatively complex data measurement and processing tasks. In this study, a new type of train comfort measurement system based on a mobile device is developed by using a built-in sensor to measure the vibration and noise. The functions of the developed system include the real-time display of three-way vibration acceleration, lateral and vertical Sperling indicators, sound pressure level, and train comfort-related data storage and processing. To verify the accuracy of the mobile device-based train ride comfort measuring system (DTRCMS), a comparison of test results from this system and from the traditional measuring system is conducted. The comparison results show that the DTRCMS is in good agreement with the traditional measuring system. The relative error in three-direction acceleration and Sperling values is 2~10%. The fluctuation range of the noise measured by DTRCMS is slightly lower than that of the professional noise meter, and the relative error is mainly between 1.5% and 4.5%. Overall, the study shows that using mobile devices to measure train comfort is feasible and practical and has great potential for big data-based train comfort evaluation in the future.https://www.mdpi.com/2076-3417/12/14/6904rail vehicleride comfortvibration measurementnoise measurementSperling index |
| spellingShingle | Yuwei Hu Lanxin Xu Shuangbu Wang Zhen Gu Zhao Tang Mobile Device-Based Train Ride Comfort Measuring System Applied Sciences rail vehicle ride comfort vibration measurement noise measurement Sperling index |
| title | Mobile Device-Based Train Ride Comfort Measuring System |
| title_full | Mobile Device-Based Train Ride Comfort Measuring System |
| title_fullStr | Mobile Device-Based Train Ride Comfort Measuring System |
| title_full_unstemmed | Mobile Device-Based Train Ride Comfort Measuring System |
| title_short | Mobile Device-Based Train Ride Comfort Measuring System |
| title_sort | mobile device based train ride comfort measuring system |
| topic | rail vehicle ride comfort vibration measurement noise measurement Sperling index |
| url | https://www.mdpi.com/2076-3417/12/14/6904 |
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