Sensing bluetooth mobility data: potentials and applications

• Type: Article in International Scientific Journal
• Date: 2014

Authors

João Filgueiras (Author) FEUP; Rosaldo J. F. Rossetti (Author) FEUP; Zafeiris Kokkinogenis (Author) FEUP; Michel Ferreira (Author) FEUP; Cristina Olaverri-Monreal (Author) Other; Marco Paiva (Author) FEUP; João Manuel R. S. Tavares (Author) FEUP; Joaquim Gabriel (Author) FEUP

Journal

Title: Computer-based Modelling and Optimization in Transportation

Vol. 262

Pages: 419-432

Indexing

ISI Web of Science

Scopus - 7 Citations

Scientific classification

FOS: Engineering and technology

CORDIS: Technological sciences

Other information

Authenticus ID: P-00A-8KF

DOI: 10.1007/978-3-319-04630-3_31

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13