Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode
Vibration comfort is an important factor affecting the quality of service (QoS) of bus. In order to make people involved in supervising bus’s vibration comfort and improve passengers’ riding experience, a novel mode of passenger crowdsourcing is introduced. In this paper, comfort degree of bus vibra...
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2016-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/2132454 |
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doaj-44168184cf2a462cbb29ea09486dd6342020-11-25T01:36:44ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/21324542132454Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing ModeHong Zhao0Li-Lu Guo1Xiang-Yan Zeng2School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, ChinaSchool of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, ChinaDepartment of Mathematics and Computer Science, Fort Valley State University, Fort Valley, GA 31030, USAVibration comfort is an important factor affecting the quality of service (QoS) of bus. In order to make people involved in supervising bus’s vibration comfort and improve passengers’ riding experience, a novel mode of passenger crowdsourcing is introduced. In this paper, comfort degree of bus vibration is calculated from bus’s vibration signals collected by passengers’ smartphones and sent through WiFi to the Boa web server which shows the vibration comfort on the LCD deployed in bus and maybe trigger alarm lamp when the vibration is beyond the threshold. Three challenges here have been overcome: firstly, space coordinate transformation algorithm is used to solve the constant drift of signals collected; secondly, a low-pass filter is designed to isolate gravity from signals real-timely via limited computing resources; thirdly, an embedded evaluation system is developed according to the calculation procedure specified by criterion ISO 2631-1997. Meanwhile, the model proposed is tested in a practical running environment, the vibration data in whole travel are recorded and analyzed offline. The results show that comfort degree of vibration obtained from the experimental system is identical with the truth, and this mode is proved to be effective.http://dx.doi.org/10.1155/2016/2132454 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hong Zhao Li-Lu Guo Xiang-Yan Zeng |
spellingShingle |
Hong Zhao Li-Lu Guo Xiang-Yan Zeng Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode Mathematical Problems in Engineering |
author_facet |
Hong Zhao Li-Lu Guo Xiang-Yan Zeng |
author_sort |
Hong Zhao |
title |
Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode |
title_short |
Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode |
title_full |
Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode |
title_fullStr |
Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode |
title_full_unstemmed |
Evaluation of Bus Vibration Comfort Based on Passenger Crowdsourcing Mode |
title_sort |
evaluation of bus vibration comfort based on passenger crowdsourcing mode |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2016-01-01 |
description |
Vibration comfort is an important factor affecting the quality of service (QoS) of bus. In order to make people involved in supervising bus’s vibration comfort and improve passengers’ riding experience, a novel mode of passenger crowdsourcing is introduced. In this paper, comfort degree of bus vibration is calculated from bus’s vibration signals collected by passengers’ smartphones and sent through WiFi to the Boa web server which shows the vibration comfort on the LCD deployed in bus and maybe trigger alarm lamp when the vibration is beyond the threshold. Three challenges here have been overcome: firstly, space coordinate transformation algorithm is used to solve the constant drift of signals collected; secondly, a low-pass filter is designed to isolate gravity from signals real-timely via limited computing resources; thirdly, an embedded evaluation system is developed according to the calculation procedure specified by criterion ISO 2631-1997. Meanwhile, the model proposed is tested in a practical running environment, the vibration data in whole travel are recorded and analyzed offline. The results show that comfort degree of vibration obtained from the experimental system is identical with the truth, and this mode is proved to be effective. |
url |
http://dx.doi.org/10.1155/2016/2132454 |
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