Skip to main navigation Skip to search Skip to main content

Harnessing the crowds for smart city sensing

  • Haggai Roitman
  • , Jonathan Mamou
  • , Sameep Mehta
  • , Aharon Satt
  • , L. V. Subramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

50 Scopus citations

Abstract

In this work we discuss the challenge of harnessing the crowd for smart city sensing. Within a city's context, such reports by citizen or city visitor eye witnesses may provide important information to city officials, additionally to more traditional data gathered by other means (e.g., through the city's control center, emergency services, sensors spread across the city, etc). We present an high-level overview of a novel crowd sensing system that we develop in IBM for the smart cities domain. As a proof of concept, we present some preliminary results using public safety as our example usecase.

Original languageEnglish
Title of host publicationCrowdSens'12 - Proceedings of the 1st ACM International Workshop on Multimodal Crowd Sensing, Co-located with CIKM 2012
Pages17-18
Number of pages2
DOIs
StatePublished - 10 Dec 2012
Externally publishedYes
Event1st ACM International Workshop on Multimodal Crowd Sensing, CrowdSens 2012 - Co-located with CIKM 2012 - Maui, HI, United States
Duration: 2 Nov 20122 Nov 2012

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference1st ACM International Workshop on Multimodal Crowd Sensing, CrowdSens 2012 - Co-located with CIKM 2012
Country/TerritoryUnited States
CityMaui, HI
Period2/11/122/11/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Crowd Sensing
  • Events
  • Public Safety

ASJC Scopus subject areas

  • General Business, Management and Accounting
  • General Decision Sciences

Fingerprint

Dive into the research topics of 'Harnessing the crowds for smart city sensing'. Together they form a unique fingerprint.

Cite this