Sensing Bluetooth Mobility Data: Potentials and Applications

• Autor(es): João Filgueiras ; Rosaldo J. F. Rossetti ; Zafeiris Kokkinogenis ; Michel Ferreira ; Cristina Olaverri-Monreal ; Marco Paiva ; João Manuel R. S. Tavares ; Joaquim Gabriel
• Data: 2014
• Identificador Persistente: http://hdl.handle.net/10216/71973
• Origem: Repositório Aberto da Universidade do Porto
• Assunto(s): Ciências Tecnológicas
• Tipo de Documento: Parte ou capítulo de livro
• Idioma: Inglês

Descrição

Information related to mobility dynamics constitutes an important factor to be considered in traffic management to improve the efficiency of existing systems. We present a proof-of-concept deployment of sensors using the Bluetooth technology to detect traffic flow conditions. Besides traditional method consisting of a network of stationary sensors, we present a novel approach that uses sensors deployed in moving vehicles that allows new type studies and captures new insights of mobility. Both approaches complement the most common methods of traffic sensing while being more cost-effective and easily available. Early experimental results show the variety of information available through both approaches spanning from Origin/Destination matrices and travel times to insights into emerging mobile neighborhoods. These metrics are important to improve traffic management increasing the efficiency of urban mobility networks.