Authors
Masao Kubo, Viet Chau Dan, Hiroshi Sato, Akira Namatame
Corresponding Author
Masao Kubo
Available Online 1 June 2016.
DOI
https://doi.org/10.2991/jrnal.2016.3.1.2
Keywords
Traffic Safety Map; Risk Estimation; Smartphone Sensing; Collective Intelligence;
Reality mining;
Abstract
In this paper, a method to generate traffic safety maps automatically from
a collection of GPS logs of a drivers' smartphone. So far methods that
residents can update their traffic environment better by their opinion
are required for. The proposed method which uses a collection of individual
summary not raw data achieves a consistent safety map while their privacy
is protected moderately. In this paper, the summarization method is explained.
Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).