A Cloud Model for Distributed Transport System Integration

Paul, R, Hamilton, M and D'Souza, D 2014, 'A Cloud Model for Distributed Transport System Integration', in The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), Sydney, Australia, 3-5 December 2014, pp. 77-84.

Document type: Conference Paper
Collection: Conference Papers

Title A Cloud Model for Distributed Transport System Integration
Author(s) Paul, R
Hamilton, M
D'Souza, D
Year 2014
Conference name 2014 IEEE Fourth International Conference on Big Data and Cloud Computing
Conference location Sydney, Australia
Conference dates 3-5 December 2014
Proceedings title The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014)
Publisher IEEE Computer Society
Place of publication Australia
Start page 77
End page 84
Total pages 8
Abstract Public transport systems already encounter vast amounts of data per day, ranging from the GPS information of vehicles to sensor checks on real-time locations. Newer technologies such as social media, sensor networks or passenger counting systems, to name just a few, present new opportunities as well as new challenges to accommodate even larger data volumes, essentially leading to a big data problem in the context of real-time distributed transport systems. We argue that contemporary models for such systems are inadequate or less than adequate in meeting these new challenges. In this paper we present a new cloud-based model for integrated, distributed public transport systems to enable greater flexibility, portability, and interoperability for different controllers and sensors. Our model is called MOVIE, an acronym for "Model Operations View Intelligence Events". The proposed MOVIE model describes an event controlled system which incorporates the cloud and various messaging protocols in order to provide a safe and secure way of communication between the users, sensors and the multimodal transportation network. We describe our new model in some detail and then present a simulation of a passenger counting system to deliver up to the minute information for passengers, to enable them to make more informed choices about their travel options. With the emergence of social media, public transport patrons may connect with transport systems in cities to receive and provide updates of the status of the traffic at that time.
Subjects Distributed Computing not elsewhere classified
Simulation and Modelling
Computer System Architecture
Keyword(s) MVC
Transport cloud
Automatic Passenger Counting
DOI - identifier 10.1109/BDCloud.2014.91
Copyright notice © 2014 IEEE
ISBN 9781479967193
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
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