In authors or contributors

Assessing Driving Behavior in Public Transportation through Mobile Crowd Sensing: A Concept Proposal for Macau Public Transportation System

Resource type
Authors/contributors
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.
Date
2016
Proceedings Title
2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)
Conference Name
2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)
Place
Fukuoka
Publisher
IEEE - Institute of Electrical and Electronics Engineers
Pages
267-271
Short Title
Assessing Driving Behavior in Public Transportation through Mobile Crowd Sensing
Library Catalog
IEEE Xplore
Extra
4 citations (Crossref) [2022-09-21]
Citation
Ma, F. C., Tóng, S. H., & Cordeiro, J. (2016). Assessing Driving Behavior in Public Transportation through Mobile Crowd Sensing: A Concept Proposal for Macau Public Transportation System. 2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 267–271. https://doi.org/10.1109/IMIS.2016.63