Analyzing the workload dynamics of a mobile phone network in large scale events

Abstract

The ever-increasing usage of mobile phones challenges carriers to evolve and improve their services based on their users' behavior. Nevertheless, it remains uncommon the usage of data about human mobility for discovering patterns which could support the dynamic resource allocation in urban areas. In particular, occasional large scale events impose patterns that may strongly differ from those observed in daily routines. In this paper, we present a methodology to characterize the workload dynamics of a mobile phone network during large scale events. Our study is based on calls made by mobile phone users of a major Brazilian cellphone carrier during soccer matches with a large number of attendees at Rio de Janeiro's urban area. The results of applying the proposed methodology may be used to improve the understanding on how users move within an urban area towards the location of a large scale event and how they disperse afterward, helping the management of mobile phone networks. Moreover, the uncovered mobility patterns may drive the development of target applications and gadgets for large scale events, such as World Soccer Cup matches.

Evaluating Risk to People and Property for Aircraft Emergency Landing Planning

“…This figure shows the pattern for SMS and call activities in different game days and in contrast to other days. These results confirm the soccer match behavior observed in [20] for two games in Brazil as well as the gradual increase in activity before the game, a characteristic of planned events as per [21]. …”

“…Soccer stadium results were reported better than airport results, although the authors did not determine whether the model developed for one particular space such as the stadium is valid for other areas of the city. A more detailed analysis of the effect of a soccer game on the mobile network was performed in [20]. Detecting events from unusual mobile phone activity was studied in [9].…”

Large-Scale Mobile Traffic Analysis: A Survey

“…Significant examples are provided by Girardin et al [148] during the New York Waterfall exhibition, Thanksgiving, Christmas, New Year's Eve, Easter, and July 4th, and by Hoteit et al [155] during and after the final match of the European soccer cup, in 2012. At times, however, special events can result in a localized decrease of the mobile activity, as observed by Xavier et al [160] in the area around the soccer stadium in Rio de Janeiro during a match. Similarly, Gowan et al [67] detect peaks in the call duration before soccer games in Ivory Coast, followed by an important drop as games start.…”

Perfil de Uso de Aplicativos Móveis: Caracterização e Aplicações

“…Outros estudos exploram não somente as redes sociais para identificar perfis de usuários, mas também outros aspectos como o tráfego HTTP [Yang et al 2015], a troca de mensagens SMS [de Almeida Oliveira et al 2015], o padrão de tráfego [Wang et al 2015, Lim et al 2016, o comportamento do usuário [Chittaranjan et al 2013], padrões de mobilidade [Leo et al 2016, Pavan et al 2015, Hong et al 2015] e ligações feitas nos arredores de um estádio de futebol [Xavier et al 2012]. Apesar desses trabalhos realizarem Tabela 1.…”