Predicting Waiting Time in Public Service Qeues Using Participative and GPS Sensing with Smartphones

  • Adriano D. Moraes IFBA
  • Allan E. S. Freitas IFBA
  • Manoel C. Marques Neto IFBA

Resumo


Mobile computing provides new ways to help people in daily routine through ubiquituos, collaborative and social computing. Herein, we combine collaboration with ubiquitous and pervasive sensing to provide a service that helps on prediting waiting time in service queues. We argue that combining GPS information with collaboration can improve queue waiting time prediction. Our experimental evaluation uses an actual minimarket service queue, achieving a mean error of 59.56 seconds for predicting queue time in queues with observed waiting time from 120 to 240 seconds. Our results show that this tool could be useful and can be extended for other different classes of service queues.
Palavras-chave: Queue Prediction, Collaborative Computing, Geofencing, Mobile
Publicado
16/10/2018
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MORAES, Adriano D.; FREITAS, Allan E. S.; MARQUES NETO, Manoel C.. Predicting Waiting Time in Public Service Qeues Using Participative and GPS Sensing with Smartphones. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 24. , 2018, Salvador. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 319-322.