Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Garvita Bajaj; Georgios Bouloukakis; Animesh Pathak; Pushpendra Singh; Nikolaos Georgantas; Valerie Issarny

doi:10.1109/ITSC.2015.57

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Garvita Bajaj
, Georgios Bouloukakis
, Animesh Pathak
, Pushpendra Singh
, Nikolaos Georgantas
, Valerie Issarny

Indraprastha Institute of Information Technology, Delhi
INRIA Rocquencourt

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

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	290-295
Number of pages	6
ISBN (Electronic)	9781467365956, 9781467365956, 9781467365956, 9781467365956
DOIs	https://doi.org/10.1109/ITSC.2015.57
Publication status	Published - 30 Oct 2015
Externally published	Yes
Event	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Spain Duration: 15 Sept 2015 → 18 Sept 2015

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2015-October
ISSN (Print)	2153-0009
ISSN (Electronic)	2153-0017

Conference

Conference	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Country/Territory	Spain
City	Gran Canaria
Period	15/09/15 → 18/09/15

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/ITSC.2015.57

Cite this

Bajaj, G., Bouloukakis, G., Pathak, A., Singh, P., Georgantas, N., & Issarny, V. (2015). Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. In Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015 (pp. 290-295). Article 7313149 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2015-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2015.57

Bajaj, Garvita ; Bouloukakis, Georgios ; Pathak, Animesh et al. / Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 290-295 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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title = "Toward Enabling Convenient Urban Transit through Mobile Crowdsensing",

abstract = "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.",

author = "Garvita Bajaj and Georgios Bouloukakis and Animesh Pathak and Pushpendra Singh and Nikolaos Georgantas and Valerie Issarny",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 ; Conference date: 15-09-2015 Through 18-09-2015",

year = "2015",

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language = "English",

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Bajaj, G, Bouloukakis, G, Pathak, A, Singh, P, Georgantas, N & Issarny, V 2015, Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. in Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015., 7313149, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, vol. 2015-October, Institute of Electrical and Electronics Engineers Inc., pp. 290-295, 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015, Gran Canaria, Spain, 15/09/15. https://doi.org/10.1109/ITSC.2015.57

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. / Bajaj, Garvita; Bouloukakis, Georgios; Pathak, Animesh et al.
Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 290-295 7313149 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2015-October).

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

TY - GEN

T1 - Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

AU - Bajaj, Garvita

AU - Bouloukakis, Georgios

AU - Pathak, Animesh

AU - Singh, Pushpendra

AU - Georgantas, Nikolaos

AU - Issarny, Valerie

PY - 2015/10/30

Y1 - 2015/10/30

N2 - 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.

AB - 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.

U2 - 10.1109/ITSC.2015.57

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M3 - Conference contribution

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SP - 290

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BT - Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015

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Bajaj G, Bouloukakis G, Pathak A, Singh P, Georgantas N, Issarny V. Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. In Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 290-295. 7313149. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC). doi: 10.1109/ITSC.2015.57

Toward Enabling Convenient Urban Transit through Mobile Crowdsensing

Abstract

Publication series

Conference

UN SDGs

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Cite this