Journal of Robotics, Networking and Artificial Life

Volume 3, Issue 1, June 2016, Pages 5 - 8

Evaluation of a safety map generated from a collection of difference of Individuals

Authors
Masao Kubo, Viet Chau Dan, Hiroshi Sato, Akira Namatame
Corresponding Author
Masao Kubo
Available Online 1 June 2016.
DOI
10.2991/jrnal.2016.3.1.2How to use a DOI?
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 Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
3 - 1
Pages
5 - 8
Publication Date
2016/06/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2016.3.1.2How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Masao Kubo
AU  - Viet Chau Dan
AU  - Hiroshi Sato
AU  - Akira Namatame
PY  - 2016
DA  - 2016/06/01
TI  - Evaluation of a safety map generated from a collection of difference of Individuals
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 5
EP  - 8
VL  - 3
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.3.1.2
DO  - 10.2991/jrnal.2016.3.1.2
ID  - Kubo2016
ER  -