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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...

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Detalles Bibliográficos
Autores principales: Padrón, Gabino, García, Carmelo R., Quesada-Arencibia, A., Alayón, Francisco, Pérez, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
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.
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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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