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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	IEEE 2nd International Smart Cities Conference
Subtitle of host publication	Improving the Citizens Quality of Life, ISC2 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509018451
DOIs	https://doi.org/10.1109/ISC2.2016.07580779
Publication status	Published - 30 Sept 2016
Externally published	Yes
Event	2nd IEEE International Smart Cities Conference, ISC2 2016 - Trento, Italy Duration: 12 Sept 2016 → 15 Sept 2016

Publication series

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

Conference

Conference	2nd IEEE International Smart Cities Conference, ISC2 2016
Country/Territory	Italy
City	Trento
Period	12/09/16 → 15/09/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Convenience
ITS
Participatory sensing
Queuing networks
Recommendation system
User feedback

Access to Document

10.1109/ISC2.2016.07580779

Cite this

Bajaj, G., Agarwal, R., Bouloukakis, G., Singh, P., Georgantas, N., & Issarny, V. (2016). Towards building real-time, convenient route recommendation system for public transit. In 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",

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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. in 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, Italy, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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KW - ITS

KW - Participatory sensing

KW - Queuing networks

KW - Recommendation system

KW - User feedback

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M3 - Conference contribution

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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.

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ER -

Bajaj G, Agarwal R, Bouloukakis G, Singh P, Georgantas N, Issarny V. Towards building real-time, convenient route recommendation system for public transit. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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