@inproceedings{2e12c5e135884855b10cd37a80be99c9,
title = "Assessing driving behavior in public transportation through mobile crowd sensing: a concept proposal for macau public transportation system",
abstract = "This paper introduces a concept proposal for accessing driving behavior in public transportation through Mobile Crowd Sensing (MCS), as part of a long-term research project on Advanced Public Transportation System (APTS). The proposed concept makes use of mobile device's accelerometer and passengers' qualitative evaluation to identify aggressive driving behavior, which is believed to be a major factor for unnecessary accidents and fuel consumption. A survey and comparison of IT services (mobile applications and websites) provided by Macau Government and private bus companies in Macau, regarding bus-related information, such as fares, routes and route diversions is also provided.",
keywords = "Advanced public transportation systems, Crowdsourcing, Driving behavior, Mobile crowd sensing, Mobile device accelerometer",
author = "Ma, {Fei Chun} and Tong, {Sok Han} and Jo{\~a}o Cordeiro",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2016 ; Conference date: 06-07-2016 Through 08-07-2016",
year = "2016",
month = dec,
day = "21",
doi = "10.1109/IMIS.2016.63",
language = "English",
series = "Proceedings - 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "267--271",
editor = "Fatos Xhafa and Leonard Barolli and Noriki Uchida",
booktitle = "Proceedings - 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2016",
address = "United States",
}
