Visible to the public Quality of information-aware real-time traffic flow analysis and reporting

TitleQuality of information-aware real-time traffic flow analysis and reporting
Publication TypeConference Paper
Year of Publication2015
AuthorsMukherjee, M., Edwards, J., Kwon, H., Porta, T. F. L.
Conference Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)
Date PublishedMarch 2015
ISBN Number978-1-4799-8425-1
KeywordsAccuracy, average speed, bandwidth savings, Cameras, desktop workstation, end devices, form responses, Image edge detection, information-aware real-time traffic flow analysis, mobile computing, mobile device, pubcrawl170111, QoI, quality of information-aware networking, quality of service, Sensors, Streaming media, traffic information systems, traffic metrics, traffic video analysis, vehicle count, Vehicles, video signal processing

In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example, we look at traffic video analysis. We present simple algorithms for deriving various traffic metrics from video, such as vehicle count and average speed. We implement these algorithms both on a desktop workstation and less-capable mobile device. We then show how QoI-awareness enables end devices to make intelligent decisions about how to process queries and form responses, such that huge bandwidth savings are realized.

Citation Keymukherjee_quality_2015