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GIS mapping of driving behavior based on naturalistic driving data
File(s)
ijgi-08-00226.pdf (3.42 MB)
Published version
Author(s)
Balsa-Barreiro, José
Valero-Mora, Pedro M
Berné-Valero, José L
Varela-García, Fco-Alberto
Type
Journal Article
Abstract
Naturalistic driving can generate huge datasets with great potential for research. However, to analyze the collected data in naturalistic driving trials is quite complex and difficult, especially if we consider that these studies are commonly conducted by research groups with somewhat limited resources. It is quite common that these studies implement strategies for thinning and/or reducing the data volumes that have been initially collected. Thus, and unfortunately, the great potential of these datasets is significantly constrained to specific situations, events, and contexts. For this, to implement appropriate strategies for the visualization of these data is becoming increasingly necessary, at any scale. Mapping naturalistic driving data with Geographic Information Systems (GIS) allows for a deeper understanding of our driving behavior, achieving a smarter and broader perspective of the whole datasets. GIS mapping allows for many of the existing drawbacks of the traditional methodologies for the analysis of naturalistic driving data to be overcome. In this article, we analyze which are the main assets related to GIS mapping of such data. These assets are dominated by the powerful interface graphics and the great operational capacity of GIS software.
Date Issued
2019-05-01
Date Acceptance
2019-05-04
Citation
ISPRS International Journal of Geo-Information, 2019, 8 (5)
URI
URL
DOI
ISSN
2220-9964
Publisher
MDPI AG
Journal / Book Title
ISPRS International Journal of Geo-Information
Volume
8
Issue
5
Copyright Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Publication Status
Published
Article Number
226
Date Publish Online
2019-05-09