Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/71973
Author(s): João Filgueiras
Rosaldo J. F. Rossetti
Zafeiris Kokkinogenis
Michel Ferreira
Cristina Olaverri-Monreal
Marco Paiva
João Manuel R. S. Tavares
Joaquim Gabriel
Title: Sensing bluetooth mobility data: potentials and applications
Issue Date: 2014
Abstract: 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.
Subject: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Scientific areas: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://repositorio-aberto.up.pt/handle/10216/71973
Source: COMPUTER-BASED MODELLING AND OPTIMIZATION IN TRANSPORTATION
Document Type: Artigo em Revista Científica Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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