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Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport
This study describes a system for the automatic recording of positioning data for public transport vehicles used on roads. With the data provided by this system, transportation-regulatory authorities can control, verify and improve the routes that vehicles use, while also providing new data to impro...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029661/ https://www.ncbi.nlm.nih.gov/pubmed/24763212 http://dx.doi.org/10.3390/s140407342 |
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author | Padrón, Gabino García, Carmelo R. Quesada-Arencibia, A. Alayón, Francisco Pérez, Ricardo |
author_facet | Padrón, Gabino García, Carmelo R. Quesada-Arencibia, A. Alayón, Francisco Pérez, Ricardo |
author_sort | Padrón, Gabino |
collection | PubMed |
description | This study describes a system for the automatic recording of positioning data for public transport vehicles used on roads. With the data provided by this system, transportation-regulatory authorities can control, verify and improve the routes that vehicles use, while also providing new data to improve the representation of the transportation network and providing new services in the context of intelligent metropolitan areas. The system is executed autonomously in the vehicles, by recording their massive positioning data and transferring them to remote data banks for subsequent processing. To illustrate the utility of the system, we present a case of application that consists of identifying the points at which vehicles stop systematically, which may be points of scheduled stops or points at which traffic signals or road topology force the vehicle to stop. This identification is performed using pattern recognition techniques. The system has been applied under real operating conditions, providing the results discussed in the present study. |
format | Online Article Text |
id | pubmed-4029661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40296612014-05-22 Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport Padrón, Gabino García, Carmelo R. Quesada-Arencibia, A. Alayón, Francisco Pérez, Ricardo Sensors (Basel) Article This study describes a system for the automatic recording of positioning data for public transport vehicles used on roads. With the data provided by this system, transportation-regulatory authorities can control, verify and improve the routes that vehicles use, while also providing new data to improve the representation of the transportation network and providing new services in the context of intelligent metropolitan areas. The system is executed autonomously in the vehicles, by recording their massive positioning data and transferring them to remote data banks for subsequent processing. To illustrate the utility of the system, we present a case of application that consists of identifying the points at which vehicles stop systematically, which may be points of scheduled stops or points at which traffic signals or road topology force the vehicle to stop. This identification is performed using pattern recognition techniques. The system has been applied under real operating conditions, providing the results discussed in the present study. MDPI 2014-04-23 /pmc/articles/PMC4029661/ /pubmed/24763212 http://dx.doi.org/10.3390/s140407342 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Padrón, Gabino García, Carmelo R. Quesada-Arencibia, A. Alayón, Francisco Pérez, Ricardo Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title_full | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title_fullStr | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title_full_unstemmed | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title_short | Using Massive Vehicle Positioning Data to Improve Control and Planning of Public Road Transport |
title_sort | using massive vehicle positioning data to improve control and planning of public road transport |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029661/ https://www.ncbi.nlm.nih.gov/pubmed/24763212 http://dx.doi.org/10.3390/s140407342 |
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