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A social network for carpooling

Published: 02 April 2014 Publication History

Abstract

The larger amount of motor vehicles produces many problems to cities around the world as poor urban mobility, environment concerns and people's health. The encouragement to use alternative means of transport, such as bicycles or subways is one of the steps to solve the problem. Another way is to encouraging the optimal usage of private automobiles. In Brazil, for instance, several studies show an underused space in cars and great potential for the use of carpooling and carsharing. Unfortunately, there is not such a unified technological mean to properly support these alternatives. In this paper we propose and implement a social network to support the use of carpooling. We show that there is a favorable context for the use of this social network with the specific purpose to share rides among users. We describe the architecture of the system and implementation details. We present results about systems's accessibility and its acceptability by people around the globe.

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Cited By

View all
  • (2022)Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning AlgorithmsInformation10.3390/info1308036913:8(369)Online publication date: 3-Aug-2022
  • (2018)Carpooling: travelers’ perceptions from a big data analysisThe TQM Journal10.1108/TQM-11-2017-015630:5(554-571)Online publication date: 13-Aug-2018
  • (2016)GO!CaronasProceedings of the 2016 8th Euro American Conference on Telematics and Information Systems (EATIS)10.1109/EATIS.2016.7520120Online publication date: 1-Apr-2016
  • Show More Cited By

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    cover image ACM Conferences
    EATIS '14: Proceedings of the 7th Euro American Conference on Telematics and Information Systems
    April 2014
    174 pages
    ISBN:9781450324359
    DOI:10.1145/2590651
    • Co-chair:
    • Claudio Cubillos,
    • General Chair:
    • Cristian Rusu,
    • Program Chair:
    • Dorian Gorgan
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 02 April 2014

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    Author Tags

    1. carpooling and social network
    2. design system
    3. urban mobility

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    EATIS '14 Paper Acceptance Rate 17 of 64 submissions, 27%;
    Overall Acceptance Rate 17 of 64 submissions, 27%

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    Cited By

    View all
    • (2022)Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning AlgorithmsInformation10.3390/info1308036913:8(369)Online publication date: 3-Aug-2022
    • (2018)Carpooling: travelers’ perceptions from a big data analysisThe TQM Journal10.1108/TQM-11-2017-015630:5(554-571)Online publication date: 13-Aug-2018
    • (2016)GO!CaronasProceedings of the 2016 8th Euro American Conference on Telematics and Information Systems (EATIS)10.1109/EATIS.2016.7520120Online publication date: 1-Apr-2016
    • (2015)Grouping Similar Trajectories for Carpooling PurposesProceedings of the 2015 Brazilian Conference on Intelligent Systems (BRACIS)10.1109/BRACIS.2015.36(234-239)Online publication date: 4-Nov-2015

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