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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

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.

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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; ISSN 2184-4992, SciTePress, 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},
issn={2184-4992},
}

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
IS - 2184-4992
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
PB - SciTePress