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A Survey of People Movement Analytics Studies in the Context of Smart Cities

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A Survey of People Movement Analytics Studies in the Context of Smart Cities. / Lohan, Elena-Simona; Kauppinen, Tomi; Debnath, Sree Bash Chandra.

Proceedings of the FRUCT’19. 2016. p. 151-158.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Lohan, E-S, Kauppinen, T & Debnath, SBC 2016, A Survey of People Movement Analytics Studies in the Context of Smart Cities. in Proceedings of the FRUCT’19. pp. 151-158, Proceedings of Conference of Open Innovations Association FRUCT, 1/01/00. https://doi.org/10.23919/FRUCT.2016.7892195

APA

Lohan, E-S., Kauppinen, T., & Debnath, S. B. C. (2016). A Survey of People Movement Analytics Studies in the Context of Smart Cities. In Proceedings of the FRUCT’19 (pp. 151-158) https://doi.org/10.23919/FRUCT.2016.7892195

Vancouver

Author

Lohan, Elena-Simona ; Kauppinen, Tomi ; Debnath, Sree Bash Chandra. / A Survey of People Movement Analytics Studies in the Context of Smart Cities. Proceedings of the FRUCT’19. 2016. pp. 151-158

Bibtex - Download

@inproceedings{70da9f94cd5249cd8d4d18a0897014b0,
title = "A Survey of People Movement Analytics Studies in the Context of Smart Cities",
abstract = "With the advent of the newest emergency call mandates in US and Europe, with the advances in cellular-based and WiFi-based localization solutions, and with the developments of cloud computing and web-based social networks, the location information and movement-related data is becoming easier and easier to collect from the user mobile devices and from the user cloud data and it is more and more used in a variety of Location Based Services and for various network planning and management tasks. The last decade has seen significant research efforts dedicated to analyze the user location and movement data, to extract mobility patterns and features and to use the predicted patterns for a more efficient resource allocation and for better location-based services. In the context of what is called today ’the smart city’, user mobility and location data are becoming key components of the smart city architecture and applications. The goal of this paper is to give a compact and comprehensive overview of the challenges and solutions related to collecting, storing, analyzing, visualizing, using or distributing people’s movement data and to summarize the purposes of such data in the context of the smart cities and the Internet of Things",
author = "Elena-Simona Lohan and Tomi Kauppinen and Debnath, {Sree Bash Chandra}",
note = "INT=elt,{"}Debnath, Sree Bash Chandra{"}",
year = "2016",
month = "11",
day = "10",
doi = "10.23919/FRUCT.2016.7892195",
language = "English",
pages = "151--158",
booktitle = "Proceedings of the FRUCT’19",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A Survey of People Movement Analytics Studies in the Context of Smart Cities

AU - Lohan, Elena-Simona

AU - Kauppinen, Tomi

AU - Debnath, Sree Bash Chandra

N1 - INT=elt,"Debnath, Sree Bash Chandra"

PY - 2016/11/10

Y1 - 2016/11/10

N2 - With the advent of the newest emergency call mandates in US and Europe, with the advances in cellular-based and WiFi-based localization solutions, and with the developments of cloud computing and web-based social networks, the location information and movement-related data is becoming easier and easier to collect from the user mobile devices and from the user cloud data and it is more and more used in a variety of Location Based Services and for various network planning and management tasks. The last decade has seen significant research efforts dedicated to analyze the user location and movement data, to extract mobility patterns and features and to use the predicted patterns for a more efficient resource allocation and for better location-based services. In the context of what is called today ’the smart city’, user mobility and location data are becoming key components of the smart city architecture and applications. The goal of this paper is to give a compact and comprehensive overview of the challenges and solutions related to collecting, storing, analyzing, visualizing, using or distributing people’s movement data and to summarize the purposes of such data in the context of the smart cities and the Internet of Things

AB - With the advent of the newest emergency call mandates in US and Europe, with the advances in cellular-based and WiFi-based localization solutions, and with the developments of cloud computing and web-based social networks, the location information and movement-related data is becoming easier and easier to collect from the user mobile devices and from the user cloud data and it is more and more used in a variety of Location Based Services and for various network planning and management tasks. The last decade has seen significant research efforts dedicated to analyze the user location and movement data, to extract mobility patterns and features and to use the predicted patterns for a more efficient resource allocation and for better location-based services. In the context of what is called today ’the smart city’, user mobility and location data are becoming key components of the smart city architecture and applications. The goal of this paper is to give a compact and comprehensive overview of the challenges and solutions related to collecting, storing, analyzing, visualizing, using or distributing people’s movement data and to summarize the purposes of such data in the context of the smart cities and the Internet of Things

U2 - 10.23919/FRUCT.2016.7892195

DO - 10.23919/FRUCT.2016.7892195

M3 - Conference contribution

SP - 151

EP - 158

BT - Proceedings of the FRUCT’19

ER -