loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Adriano de Oliveira Tito ; Arley Ramalho R. Ristar ; Luana M. dos Santos ; Luiz Antonio V. Filho ; Patrícia Restelli Tedesco and Ana Carolina Salgado

Affiliation: Federal University of Pernambuco, Brazil

ISBN: 978-989-758-027-7

Keyword(s): Intelligent Transportation Systems, Recommendation Systems, Context-Aware Computing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Intelligent Transportation System

Abstract: Traffic has become an increasingly significant problem in the lives of citizens of major and medium sized cities. This has contributed to the inefficiency of public transportation, where one of the main issues to be tackled is the absence of relevant, timely information to users. In times where technology solutions for daily tasks are widely available, Public Transportation User Information Systems emerge as a possible solution to this issue, providing information to passengers and supporting their decision-making. This work aims to present a recommendation system for public transportation routes by bus, called RecRoute, that considers contextual information related to users, climate, time of day and traffic to recommend bus routes that are more adequate to the passengers’ particular needs. The results of our experiment show that RecRoute was approved and its recommendations were well evaluated by the participants.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.214.184.124

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
de Oliveira Tito, A.; Ramalho R. Ristar, A.; M. dos Santos, L.; Antonio V. Filho, L.; Restelli Tedesco, P. and Carolina Salgado, A. (2014). RecRoute - A Bus Route Recommendation System Based on Users’ Contextual Information.In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-758-027-7, pages 357-366. DOI: 10.5220/0004866903570366

@conference{iceis14,
author={Adriano de Oliveira Tito. and Arley Ramalho R. Ristar. and Luana M. dos Santos. and Luiz Antonio V. Filho. and Patrícia Restelli Tedesco. and Ana Carolina Salgado.},
title={RecRoute - A Bus Route Recommendation System Based on Users’ Contextual Information},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2014},
pages={357-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004866903570366},
isbn={978-989-758-027-7},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - RecRoute - A Bus Route Recommendation System Based on Users’ Contextual Information
SN - 978-989-758-027-7
AU - de Oliveira Tito, A.
AU - Ramalho R. Ristar, A.
AU - M. dos Santos, L.
AU - Antonio V. Filho, L.
AU - Restelli Tedesco, P.
AU - Carolina Salgado, A.
PY - 2014
SP - 357
EP - 366
DO - 10.5220/0004866903570366

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.