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2016 IEEE International Conference on Pervasive Computing and Communications (PerCom) (2016)
Sydney, Australia
March 14, 2016 to March 19, 2016
ISBN: 978-1-4673-8778-1
pp: 1-6
Senyuan Tan , National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, 210093, Nanjing, China
Xiaoliang Wang , National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, 210093, Nanjing, China
Guido Maier , Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy
Wenzhong Li , National Key Laboratory for Novel Software Technology, Department of Computer Science and Technology, Nanjing University, 210093, Nanjing, China
ABSTRACT
Public transport plays an importation role in our daily life. The information related to passengers satisfaction is very beneficial for optimizing the transportation service. This paper investigates an application of mobile crowd sensing to detect and analyze the riding quality of public transport vehicles. The lightweight system leverages sensors equipped on participants' smartphones to collect surrounding information. By analyzing the uploaded data at a server, we are able to estimate both aggressive driving behaviors and environment contexts. Series of data processing methods are exploited to overcome the affection of body movement and road condition, and crowd sourcing is applied to improve the robustness of the results. We have tested this system in 3 different transportation in 3 cities. The results indicate that the system can provide sufficient accuracy (up to 91% with 7 phones) to identify dozens of riding-comfort metrics.1
INDEX TERMS
Vehicles, Sensors, Acceleration, Smart phones, Roads, Accelerometers, Mobile communication
CITATION

S. Tan, X. Wang, G. Maier and W. Li, "Riding quality evaluation through mobile crowd sensing," 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)(PERCOM), Sydney, Australia, 2016, pp. 1-6.
doi:10.1109/PERCOM.2016.7456517
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