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

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

Résumé

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.

langue originale	Anglais
titre	Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	290-295
Nombre de pages	6
ISBN (Electronique)	9781467365956, 9781467365956, 9781467365956, 9781467365956
Les DOIs	https://doi.org/10.1109/ITSC.2015.57
état	Publié - 30 oct. 2015
Modification externe	Oui
Evénement	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015 - Gran Canaria, Espagne Durée: 15 sept. 2015 → 18 sept. 2015

Série de publications

Nom	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume	2015-October
ISSN (imprimé)	2153-0009
ISSN (Electronique)	2153-0017

Une conférence

Une conférence	18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015
Pays/Territoire	Espagne
La ville	Gran Canaria
période	15/09/15 → 18/09/15

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/ITSC.2015.57

Contient cette citation

Bajaj, G., Bouloukakis, G., Pathak, A., Singh, P., Georgantas, N., & Issarny, V. (2015). Toward Enabling Convenient Urban Transit through Mobile Crowdsensing. Dans Proceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015 (p. 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. p. 290-295 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

@inproceedings{2f22c274779647acafb0ed134cb78cad,

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",

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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. Dans 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., p. 290-295, 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015, Gran Canaria, Espagne, 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).

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 - 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.

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M3 - Conference contribution

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T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

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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. Dans 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

Résumé

Série de publications

Une conférence

SDG des Nations Unies

Accès au document

Empreinte digitale

Contient cette citation