A Novel Dataset for the Transport Sector in a Province of Peru

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === Problems related to public transport and private transport in Peru are persistent. New proposals to solve them arise, currently the world of data a...

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Main Authors: Guerrero, Miguel Arango, Juárez, Pedro Shiguihara
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10757/653801
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spelling ndltd-PERUUPC-oai-repositorioacademico.upc.edu.pe-10757-6538012021-01-10T05:14:09Z A Novel Dataset for the Transport Sector in a Province of Peru Guerrero, Miguel Arango Juárez, Pedro Shiguihara Public and private transport Transport dataset Transport planning Geographic areas Private transport Public transport Transport sectors Transport services El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. Problems related to public transport and private transport in Peru are persistent. New proposals to solve them arise, currently the world of data analysis is starting in Peru, there are not many open datasets useful that allow proposing solutions in each environment. In this paper, we will collect relevant data of the transport located in a province of Peru with more than 1000 users involved, restricted by a delimited geographic area and with 2 years of operations and more than 3000 transport services tracked. In this way, we highlight the importance of the data, the possible potential uses within the transport, and a case of use of the collected dataset. Revisión por pares 2021-01-09T00:50:59Z 2021-01-09T00:50:59Z 2021-01-01 Other 21903018 10.1007/978-3-030-57566-3_41 http://hdl.handle.net/10757/653801 21903026 Smart Innovation, Systems and Technologies 2-s2.0-85098143413 SCOPUS_ID:85098143413 eng https://www.scopus.com/record/display.uri?eid=2-s2.0-85098143413&doi=10.1007%2f978-3-030-57566-3_41&origin=inward&txGid=45442367ffcb316df8170c7622843e33 Smart Innovation, Systems and Technologies 202 409 415
collection NDLTD
language English
sources NDLTD
topic Public and private transport
Transport dataset
Transport planning
Geographic areas
Private transport
Public transport
Transport sectors
Transport services
spellingShingle Public and private transport
Transport dataset
Transport planning
Geographic areas
Private transport
Public transport
Transport sectors
Transport services
Guerrero, Miguel Arango
Juárez, Pedro Shiguihara
A Novel Dataset for the Transport Sector in a Province of Peru
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === Problems related to public transport and private transport in Peru are persistent. New proposals to solve them arise, currently the world of data analysis is starting in Peru, there are not many open datasets useful that allow proposing solutions in each environment. In this paper, we will collect relevant data of the transport located in a province of Peru with more than 1000 users involved, restricted by a delimited geographic area and with 2 years of operations and more than 3000 transport services tracked. In this way, we highlight the importance of the data, the possible potential uses within the transport, and a case of use of the collected dataset. === Revisión por pares
author Guerrero, Miguel Arango
Juárez, Pedro Shiguihara
author_facet Guerrero, Miguel Arango
Juárez, Pedro Shiguihara
author_sort Guerrero, Miguel Arango
title A Novel Dataset for the Transport Sector in a Province of Peru
title_short A Novel Dataset for the Transport Sector in a Province of Peru
title_full A Novel Dataset for the Transport Sector in a Province of Peru
title_fullStr A Novel Dataset for the Transport Sector in a Province of Peru
title_full_unstemmed A Novel Dataset for the Transport Sector in a Province of Peru
title_sort novel dataset for the transport sector in a province of peru
publishDate 2021
url http://hdl.handle.net/10757/653801
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