Toward Enabling Convenient Urban Transit through Mobile Crowdsensing - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2015

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Georgios Bouloukakis
Animesh Pathak
Nikolaos Georgantas
  • Function : Author
  • PersonId : 868414
Valerie Issarny
  • Function : Author
  • PersonId : 833417


The smart cities of the future are expected to be serviced by advanced, personalized multimodal transit systems, charged with timely transport of citizens. Optimizing routes on such networks is a complex problem, in part due to the fact that simple metrics such as latency by themselves are not sufficient to find the best routes. In this paper, we focus on the problem of providing commuters with personalized routes with the most convenience. We present our mathematical model of user convenience during a multi-leg journey, and the overview of a middleware for enabling convenient transit (including ensuring acceptable network connectivity to mobile apps) by using crowdsourcing. We also report on initial insights obtained through empirical studies on network connectivity and user-perception of convenience in Delhi, India, and Paris, France.
Fichier principal
Vignette du fichier
expressApproved.pdf (1.55 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01204827 , version 1 (27-09-2015)


  • HAL Id : hal-01204827 , version 1


Garvita Bajaj, Georgios Bouloukakis, Animesh Pathak, Pushpendra Singh, Nikolaos Georgantas, et al.. Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. 18th IEEE International Conference on Intelligent Transportation Systems, Sep 2015, Gran Canaria, Spain. ⟨hal-01204827⟩


154 View
294 Download


Gmail Facebook Twitter LinkedIn More