A Context Aware Automatic Traffic Notification System for Cell Phones

Authors:
Keshu Zhang;Kari Torkkola;Haifeng Li;Christopher Schreiner;Harry Zhang;Mike Gardner;Zheng Zhao
Affiliations:
Motorola, USA;Motorola, USA;Motorola, USA;Motorola, USA;Motorola, USA;Motorola, USA;Arizona State University, USA
Venue:
ICDCSW '07 Proceedings of the 27th International Conference on Distributed Computing Systems Workshops
Year:
2007

Citing 0
Cited 1

L2GClust: local-to-global clustering of stream sources

Proceedings of the 2011 ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Adaptation of devices and applications based on contextual information has a great potential to enhance usability and mitigate the increasing complexity of mobile devices. We have developed a context aware system that can automatically notify user of the traffic conditions by predicting their destination and route using context. In this paper, we describe the system in detail, including data collection, user interaction, context fusion, and learning and prediction of user's destination and route.