Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
4-2018
Abstract
With the increased focus on making cities "smarter", we see an upsurge in investment in sensing technologies embedded in the urban infrastructure. The deployment of GPS sensors aboard taxis and buses, smartcards replacing paper tickets, and other similar initiatives have led to an abundance of data on human mobility, generated at scale and available real-time. Further still, users of social media platforms such as Twitter and LBSNs continue to voluntarily share multimedia content revealing in-situ information on their respective localities. The availability of such longitudinal multimodal data not only allows for both the characterization of the dynamics of the city, but also, in detecting anomalies, resulting from events (e.g., concerts) that disrupt such dynamics, transiently. In this work, we investigate the capabilities of such urban sensor modalities, both physical and social, in detecting a variety of local events of varying intensities (e.g., concerts) using statistical outlier detection techniques. We look at loading levels on arriving bus stops, telecommunication records and taxi trips, accrued via the public APIs made available through the local transport authorities from Singapore and New York City, and Twitter/Foursquare check-ins collected during the same period, and evaluate against a set of events assimilated from multiple event websites. In particular, we report on our early findings on (1) the spatial impact evident via each modality (i.e., how far from the event venue is the anomaly still present), and (2) the utility in combining decisions from the collection of sensors using rudimentary fusion techniques.
Keywords
Interoperability, Investments, Smart cards, Taxicabs, Fusion techniques, Multi-modal sensing, Multimedia contents, Outlier detection techniques, Sensing technology, Social media platforms, Transient events, Urban infrastructure, Social networking (online)
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Areas of Excellence
Urban Management and Sustainability
Publication
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX: Orlando, FL, 2018 April 16-18: Proceedings
Volume
10635
First Page
1
Last Page
13
ISBN
9781510617810
Identifier
10.1117/12.2322858
Publisher
SPIE
City or Country
Bellingham, WA
Citation
JAYARAJAH, Kasthuri; VIGNESHWARAN, Subbaraju; ATHAIDE, Noel; MEEGHAPOLA, Lakmal; TAN, Andrew; and MISRA, Archan.
Can multimodal sensing detect and localize transient events?. (2018). Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX: Orlando, FL, 2018 April 16-18: Proceedings. 10635, 1-13.
Available at: https://ink.library.smu.edu.sg/sis_research/4111
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1117/12.2322858