FoGBAT: Combining bluetooth and GPS data for better traffic analytics

Johannes L. Borresen*, Christian S. Jensen, Kristian Torp

*Kontaktforfatter

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1 Citationer (Scopus)

Abstract

Congestion is a major problem in many cities. In order to monitor and manage traffic, a number of different sensor types are used to collect traffic data. This includes GPS devices in the vehicles themselves as well as fixed Bluetooth sensors along the roads. Each sensor type has advantages and disadvantages. Where GPS has a wide coverage of the road network, Bluetooth sensors gather data from a much higher number of vehicles. In this paper we present Fog BAT, a system that combines GPS data with Bluetooth data. The goal of the system is to retain the advantages of both. We show how the data types are aligned to ensure that data from each sensor type is related to the exact same part of the road network and cover the same time period. Using very large real-world data sets, we use the system to compare travel speeds based on each data type, and how the use of both data types simultaneously can improve the accuracy of computed travel speeds and congestion levels.

OriginalsprogEngelsk
TitelProceedings - 2016 IEEE 17th International Conference on Mobile Data Management, IEEE MDM 2016
Antal sider4
ForlagIEEE Computer Society Press
Publikationsdato20 jul. 2016
Sider325-328
Artikelnummer7517812
ISBN (Trykt)978-1-5090-0884-1
ISBN (Elektronisk)978-1-5090-0883-4
DOI
StatusUdgivet - 20 jul. 2016
Begivenhed17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016 - Porto, Portugal
Varighed: 13 jun. 201616 jun. 2016

Konference

Konference17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016
Land/OmrådePortugal
ByPorto
Periode13/06/201616/06/2016
Sponsoret al., IEEE, INESC TEC, LIAAD, University of Porto, Uporto, Faculdade de Economia

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