SUPERHUB approach on exploiting mobility patterns for smart urban applications

Author

Alrefaie, Mohamed T. ; Tosi, Davide ; Telesca, Luigi

Author_Institution

CREATE-NET, Trento, Italy

fYear

2014

Firstpage

1

Lastpage

7

Abstract

Real-time traffic and transportation data are key factors for improving urban mobility services. With the emergence of smartphones, traditional data sources such as cameras and road sensors could be replaced with innovative approaches centred around smartphone users. The SUPERHUB project proposes a novel user centric approach for gathering, processing and consuming information in order to provide ecological-friendly multi-modal journey planning. Traffic sensing and Floating Car Data are addressed by two different methodologies to provide historical and real-time traffic analysis then merged to provide a unified traffic model called Speed Profile. In this paper, we present our innovative approach in aggregating different heterogeneous sources to identify mobility patterns, speed and traffic flow. Then we discuss its business benefits and its applications.

Keywords

data handling; innovation management; mobile computing; smart phones; traffic engineering computing; SUPERHUB project; Speed Profile; ecological-friendly multimodal journey planning; floating car data; historical traffic analysis; information consuming; information gathering; information processing; mobility pattern exploitation; real-time traffic analysis; real-time traffic data; real-time transportation data; smart urban applications; smartphones; traffic sensing; unified traffic model; urban mobility service improvement; Cities and towns; Data mining; Global Positioning System; Mobile communication; Real-time systems; Roads; Vehicle dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

eChallenges e-2014, 2014 Conference

Print_ISBN

978-1-9058-2445-8

Type

conf

Filename

7058190