Home // MMEDIA 2020, The Twelfth International Conference on Advances in Multimedia // View article

Safe Route Navigation Using Traffic Volume Estimated by Noise Data

Authors:
Kenji Tsukamoto
Tatsuo Nakajima

Keywords: route navigation; map application; safety; noise level.

Abstract:
The focus of this research is on the new possibilities of map-based pedestrian navigation applications. Currently, many map-based pedestrian navigations can only display the shortest path. However, it is not always appropriate for typical users. We propose that the map-based pedestrian navigation application which presents a path that can reduce the fear of crime for the pedestrians. In other words, we propose a safe route navigator. Our research question is whether it is useful for the user that the application shows a safe path. We have created a prototype application that suggests a safe path and evaluate that it is useful. We consider that a busy road is typically as a safe road, but estimating human density to indicate busy road is not easy. We propose a method of using the environmental noise as an easy way to estimate human density. Compared to the human density, the noise level can be easily measured. Then, we show that the proposed application can reduce the user's fear of crime. This means that future map-based pedestrian navigation application that should show not only the shortest route but also a safe route is useful.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2020

Publication date: February 23, 2020

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-772-6

Location: Lisbon, Portugal

Dates: from February 23, 2020 to February 27, 2020