Conference Proceeding Article
Singapore's "smart city" agenda is driving the government to provide public access to a broader variety of urban informatics sources, such as images from traffic cameras and information about buses servicing different bus stops. Such informatics data serves as probes of evolving conditions at different spatiotemporal scales. This paper explores how such multi-modal informatics data can be used to establish the normal operating conditions at different city locations, and then apply appropriate outlier-based analysis techniques to identify anomalous events at these selected locations. We will introduce the overall architecture of sociophysical analytics, where such infrastructural data sources can be combined with social media analytics to not only detect such anomalous events, but also localize and explain them. Using the annual Formula-1 race as our candidate event, we demonstrate a key difference between the discriminative capabilities of different sensing modes: while social media streams provide discriminative signals during or prior to the occurrence of such an event, urban informatics data can often reveal patterns that have higher persistence, including before and after the event. In particular, we shall demonstrate how combining data from (i) publicly available Tweets, (ii) crowd levels aboard buses, and (iii) traffic cameras can help identify the Formula-1 driven anomalies, across different spatiotemporal boundaries
Multi-Modal Sensing, Urban Analytics, Information Fusion, Event Detection
Artificial Intelligence and Robotics | Databases and Information Systems | Software Engineering
Intelligent Systems and Decision Analytics
Proceedings of SPIE: 8th Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR, Anaheim, United States, 2017 April 10-13
City or Country
JAYARAJAH, Kasthuri; SUBBARAJU, Vigneshwaran; KAVEESHA WEERAKOON MUDIYANSELAGE, Dulanga; MISRA, Archan; TAM, La Thanh; and ATHAIDE, Noel.
Discovering anomalous events from urban informatics data. (2017). Proceedings of SPIE: 8th Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR, Anaheim, United States, 2017 April 10-13. 10190, 1-14. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3818
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