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...

Full description

Bibliographic Details
Main Authors: Hong Zhao, Li-Lu Guo, Xiang-Yan Zeng
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/2132454
id doaj-44168184cf2a462cbb29ea09486dd634
record_format Article
spelling 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
work_keys_str_mv AT hongzhao evaluationofbusvibrationcomfortbasedonpassengercrowdsourcingmode
AT liluguo evaluationofbusvibrationcomfortbasedonpassengercrowdsourcingmode
AT xiangyanzeng evaluationofbusvibrationcomfortbasedonpassengercrowdsourcingmode
_version_ 1725061226344480768