TITLE:
Cloud-Based Information Technology Framework for Data Driven Intelligent Transportation Systems
AUTHORS:
Arshdeep Bahga, Vijay K. Madisetti
KEYWORDS:
Cloud Computing; Vehicle Routing; Supply Chain; Tracking; Hadoop
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.3 No.2,
April
29,
2013
ABSTRACT: We present a novel cloud based IT framework, CloudTrack, for data driven intelligent transportation systems. We describe how the proposed framework can be leveraged for real-time fresh food supply tracking and monitoring. CloudTrack allows efficient storage, processing and analysis of real-time location and sensor data collected from fresh food supply vehicles. This paper describes the architecture, design, and implementation of CloudTrack, and how the proposed cloud-based IT framework leverages the parallel computing capability of a computing cloud based on a large-scale distributed batch processing infrastructure. A dynamic vehicle routing approach is adopted where the alerts trigger the generation of new routes. CloudTrack provides the global information of the entire fleet of food supply vehicles and can be used to track and monitor a large number of vehicles in real-time. Our approach leverages the advantages of the IT capabilities of a computing cloud into the operations and supply chain.