Congestrian: Monitoring pedestrian traffic and congestion

Nicholas K. Taylor, Elizabeth Papadopoulou, Mei Yii Lim, Patrick Skillen, Fraser R. Blackmun, Morgan Howard Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We propose the development and deployment in the wild of a sensor network that will monitor pedestrian traffic rates and congestion. Three types of sensor are envisaged; fixed video cameras, wearable pedometers and GPS devices. The data captured data will facilitate applications such as route planning avoiding congested areas and warning the elderly and infirm of particularly congested areas. Processing of rates of travel and destinations will enable different types of pedestrian to be identified and plotted dynamically such as tourists, shoppers and individuals simply trying to get from A to B quickly. Looking beyond the immediate empirical scope of this workshop, we indicate how such a system could be deployed to take advantage of the benefits afforded by the Personal Smart Space of the EU FP7 PERSIST project and the Community Smart Space of the EU FP7 SOCIETIES project.

Original languageEnglish
Title of host publicationUbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing
Pages1355-1358
Number of pages4
DOIs
Publication statusPublished - 15 Oct 2013
Event2013 ACM Conference on Ubiquitous Computing - Zurich, United Kingdom
Duration: 8 Sep 201312 Sep 2013

Conference

Conference2013 ACM Conference on Ubiquitous Computing
Abbreviated titleUbiComp 2013
CountryUnited Kingdom
CityZurich
Period8/09/1312/09/13

Keywords

  • Crowd sourcing
  • Pervasive computing
  • Sensors
  • Smart city

ASJC Scopus subject areas

  • Software

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