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.