DocumentCode
136299
Title
mPASS: Integrating people sensing and crowdsourcing to map urban accessibility
Author
Prandi, Catia ; Salomoni, Paola ; Mirri, Silvia
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Bologna Bologna, Bologna, Italy
fYear
2014
fDate
10-13 Jan. 2014
Firstpage
591
Lastpage
595
Abstract
This paper presents mPASS (mobile Pervasive Accessibility Social Sensing), a system designed to collect data about urban and architectural accessibility and to provide users with personalized paths, computed on the basis of their preferences and needs. The system combines data obtained by sensing, crowdsourcing and mashing-up with main geo-referenced social systems, with the aim of offering services based on a detailed and valid data set.
Keywords
mobile computing; pedestrians; smart phones; architectural accessibility; crowdsourcing; mPASS; main geo-referenced social systems; mobile pervasive accessibility social sensing; pedestrian; urban accessibility; Conferences; Crowdsourcing; Mobile communication; Organizations; Routing; Sensors; Wheelchairs; accessibility; crowdsourcing; mashup; personalized path; sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-2356-4
Type
conf
DOI
10.1109/CCNC.2014.6940491
Filename
6940491
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