Authors
Viet Chau Dang, Masao Kubo, Hiroshi Sato, Tomohiro Shirakawa, Akira Namatame
Corresponding Author
Viet Chau Dang
Available Online 30 June 2014.
DOI
https://doi.org/10.2991/jrnal.2014.1.1.1How to use a DOI?
Keywords
Smartphone, Geographic Information System, Safety Map, Social Network Service, Anomaly Detection
Abstract
This paper proposes a method for detecting anomaly stop events from GPS logs of a vehicle recorded by smartphone. Despite of many researches of strong braking event detection are proposed, they cannot discriminate between a normal and an abnormal braking event. Our proposal includes an IMAC model for GPS based map generation and an algorithm for anomaly stops detection based on the acquired map. The real world experiment shows our map generation method and its anomaly stop detection rule works well.

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/).