About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
The First International Conference on IoT in Urban Space

Research Article

Trustworthiness Assessment in Mapping Urban Accessibility via Sensing and Crowdsourcing

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/icst.urb-iot.2014.257267,
        author={Catia Prandi and Silvia Mirri and Paola Salomoni},
        title={Trustworthiness Assessment in Mapping Urban Accessibility via Sensing and Crowdsourcing},
        proceedings={The First International Conference on IoT in Urban Space},
        publisher={ACM},
        proceedings_a={URB-IOT},
        year={2014},
        month={11},
        keywords={trustworthiness urban accessibility crowdsourcing sensing},
        doi={10.4108/icst.urb-iot.2014.257267}
    }
    
  • Catia Prandi
    Silvia Mirri
    Paola Salomoni
    Year: 2014
    Trustworthiness Assessment in Mapping Urban Accessibility via Sensing and Crowdsourcing
    URB-IOT
    ICST
    DOI: 10.4108/icst.urb-iot.2014.257267
Catia Prandi1,*, Silvia Mirri1, Paola Salomoni1
  • 1: University of Bologna
*Contact email: catia.prandi2@unibo.it

Abstract

In this work we present the trustworthiness assessment in mPASS (mobile Pervasive Accessibility Social Sensing), a location and context aware system that collects data from crowdsourcing and sensing in order to map urban and architectural accessibility. The fusion of heterogeneous urban sources allows mPASS to provide users with personalized paths, computed on the basis of their preferences and needs. To perform this task, the system needs a set of georeferenced data that is dense enough and trustworthy enough to avoid false positives and negatives, e.g. to prevent users from encounter on their path an unknown barrier or a non-existing facility. In order to reach this goal, we propose a trustworthiness assessment which combines accuracy of sensors, source credibility of the crowd and the authority of experts. To evaluate the effectiveness of our trustworthiness assessment, we conducted a set of simulations by exploiting OSM data and we have obtained interesting results.

Keywords
trustworthiness urban accessibility crowdsourcing sensing
Published
2014-11-21
Publisher
ACM
http://dx.doi.org/10.4108/icst.urb-iot.2014.257267
Copyright © 2014–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL