RecRoute - A Bus Route Recommendation System Based on Users’ Contextual Information

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

2014

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 Harvard Style

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 1: ICEIS, ISBN 978-989-758-027-7, pages 357-366. DOI: 10.5220/0004866903570366


in Bibtex Style

@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 1: ICEIS,},
year={2014},
pages={357-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004866903570366},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: 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