Towards Building Real-Time, Convenient Route Recommendation System for Public Transit - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Towards Building Real-Time, Convenient Route Recommendation System for Public Transit

Rachit Agarwal
Georgios Bouloukakis
Nikolaos Georgantas
  • Fonction : Auteur
  • PersonId : 868414
  • IdRef : 16384495X
Valerie Issarny
  • Fonction : Auteur
  • PersonId : 833417

Résumé

Public transportation is essential for sustainable and economical development of cities. Several transport organizations aim to provide service information to commuters through web and mobile apps. This information includes possible routes between two stations, estimated travel and arrival times, and real-time updates about traffic conditions. However, this information is currently not personalized according to commuter preferences. In this work, we emphasize the need for personalized transit service information to commuters and present a vision of our work in this direction. Our final goal is to develop a fully-functional personalized route recommendation system for public transit commuters. This involves identifying commuter preferences and suitable recommendation techniques, and developing a platform to communicate this information to the commuters. We identify the requirements for the development of this platform, and propose an architecture for our system. As a proof of concept, we present an Android participatory sensing application - MetroCognition, which acquires feedback on convenience experienced by commuters in public transit.
Fichier principal
Vignette du fichier
building-real-time-2.pdf (512.73 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01351068 , version 1 (10-08-2016)

Identifiants

Citer

Garvita Bajaj, Rachit Agarwal, Georgios Bouloukakis, Pushpendra Singh, Nikolaos Georgantas, et al.. Towards Building Real-Time, Convenient Route Recommendation System for Public Transit. IEEE International Smart Cities Conference, Sep 2016, Trento, Italy. ⟨10.1109/ISC2.2016.7580779⟩. ⟨hal-01351068⟩
108 Consultations
737 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More