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Towards Mobile Social Crowd-Sensing for Transport Information Management

Domaine:

mobilitydigital infrastructure

Type de record:

paper
Créateur:
BouGeoAgaPat
Éditeur:
Mid
Éditeur:
CCSD
Hôte:avatar
International audience Transport in Senegal is chaotic and large, especially in main cities. Additionally, although most people have mobile phones, large part of them still rely on SMS. Considering this, we propose the development of an application platform for large-scale transport information management relying on ‘mobile social crowd-sensing’. To support this platform, we model a large-scale mobile publish/subscribe system using queuing theory. We develop MobileJINQS simulator that uses D4D data for parameterization.

Visit

inria.hal.science

Tags

[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Licenses

info:eu-repo/semantics/OpenAccess

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