Towards building real-time, convenient route recommendation system for public transit

Garvita Bajaj; Rachit Agarwal; Georgios Bouloukakis; Pushpendra Singh; Nikolaos Georgantas; Valérie Issarny

doi:10.1109/ISC2.2016.07580779

Towards building real-time, convenient route recommendation system for public transit

Garvita Bajaj
, Rachit Agarwal
, Georgios Bouloukakis
, Pushpendra Singh
, Nikolaos Georgantas
, Valérie Issarny

Indraprastha Institute of Information Technology, Delhi
Inria Paris

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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.

langue originale	Anglais
titre	IEEE 2nd International Smart Cities Conference
Sous-titre	Improving the Citizens Quality of Life, ISC2 2016 - Proceedings
Editeur	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)	9781509018451
Les DOIs	https://doi.org/10.1109/ISC2.2016.07580779
état	Publié - 30 sept. 2016
Modification externe	Oui
Evénement	2nd IEEE International Smart Cities Conference, ISC2 2016 - Trento, Italie Durée: 12 sept. 2016 → 15 sept. 2016

Série de publications

Nom	IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings

Une conférence

Une conférence	2nd IEEE International Smart Cities Conference, ISC2 2016
Pays/Territoire	Italie
La ville	Trento
période	12/09/16 → 15/09/16

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 11 Villes et communautés durables

Accès au document

10.1109/ISC2.2016.07580779

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Contient cette citation

Bajaj, G., Agarwal, R., Bouloukakis, G., Singh, P., Georgantas, N., & Issarny, V. (2016). Towards building real-time, convenient route recommendation system for public transit. Dans IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings Article 07580779 (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC2.2016.07580779

Bajaj, Garvita ; Agarwal, Rachit ; Bouloukakis, Georgios et al. / Towards building real-time, convenient route recommendation system for public transit. IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings).

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title = "Towards building real-time, convenient route recommendation system for public transit",

abstract = "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.",

keywords = "Convenience, ITS, Participatory sensing, Queuing networks, Recommendation system, User feedback",

author = "Garvita Bajaj and Rachit Agarwal and Georgios Bouloukakis and Pushpendra Singh and Nikolaos Georgantas and Val{\'e}rie Issarny",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Smart Cities Conference, ISC2 2016 ; Conference date: 12-09-2016 Through 15-09-2016",

year = "2016",

month = sep,

day = "30",

doi = "10.1109/ISC2.2016.07580779",

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Bajaj, G, Agarwal, R, Bouloukakis, G, Singh, P, Georgantas, N & Issarny, V 2016, Towards building real-time, convenient route recommendation system for public transit. Dans IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings., 07580779, IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Smart Cities Conference, ISC2 2016, Trento, Italie, 12/09/16. https://doi.org/10.1109/ISC2.2016.07580779

Towards building real-time, convenient route recommendation system for public transit. / Bajaj, Garvita; Agarwal, Rachit; Bouloukakis, Georgios et al.
IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 07580779 (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Towards building real-time, convenient route recommendation system for public transit

AU - Bajaj, Garvita

AU - Agarwal, Rachit

AU - Bouloukakis, Georgios

AU - Singh, Pushpendra

AU - Georgantas, Nikolaos

AU - Issarny, Valérie

PY - 2016/9/30

Y1 - 2016/9/30

N2 - 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.

AB - 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.

KW - Convenience

KW - ITS

KW - Participatory sensing

KW - Queuing networks

KW - Recommendation system

KW - User feedback

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DO - 10.1109/ISC2.2016.07580779

M3 - Conference contribution

AN - SCOPUS:84994126424

T3 - IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings

BT - IEEE 2nd International Smart Cities Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Smart Cities Conference, ISC2 2016

Y2 - 12 September 2016 through 15 September 2016

ER -

Bajaj G, Agarwal R, Bouloukakis G, Singh P, Georgantas N, Issarny V. Towards building real-time, convenient route recommendation system for public transit. Dans IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 07580779. (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings). doi: 10.1109/ISC2.2016.07580779

Towards building real-time, convenient route recommendation system for public transit

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Série de publications

Une conférence

SDG des Nations Unies

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