A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization

In studies of human mobility, there is a need for a holistic system for collection of sensing data, management of data flows, fusion of multiple data sources, and visualization of integrated data to better understand travel behavior. We have designed and implemented a generic Future Mobility Sensing...

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Tác giả chính:	You, Linlin
Đồng tác giả:	Zhao, Fang
Định dạng:	BB
Ngôn ngữ:	English
Thông tin xuất bản:	IEEE Xplore 2020
Chủ đề:	Mobility sensing flow multi-source data collection, big data travel survey
Truy cập trực tuyến:	http://tailieuso.tlu.edu.vn/handle/DHTL/9904
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spelling	oai:localhost:DHTL-99042020-12-11T08:38:26Z A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization You, Linlin Zhao, Fang Cheah, Lynette Jeong, Kyungsoo Zegras, Pericles Christopher Ben-Akiva, Moshe Mobility sensing flow multi-source data collection, big data travel survey In studies of human mobility, there is a need for a holistic system for collection of sensing data, management of data flows, fusion of multiple data sources, and visualization of integrated data to better understand travel behavior. We have designed and implemented a generic Future Mobility Sensing (FMS) system to serve these purposes. FMS harnesses various sensing technologies, heterogeneous multi-source data and analytical functionalities with three dedicated platforms, namely 1) the FMS Data Collection Platform, which intertwines sensing objects, machine learning algorithms and user verifications to collect high resolution, multi-day travel data; 2) the FMS Data Management Platform, which provides standardized APIs to access data stored in an interconnected data model; and 3) the FMS Data Fusion and Visualization Platform, which consolidates multi-source data to be interpreted and presented. Together, the three platforms form a mobility sensing flow to facilitate data-driven analysis and decision-making. With FMS, heterogeneous multi-source data are suitably integrated for analysis, and multi-dimensional knowledge is extracted and presented in intuitive and interactive analytical dashboards. The system is intended to be generic to support different requirements of mobility studies, such as travel surveys, as its function modules are reusable and can be customized to support a unified data collection, management, fusion and visualization process. This paper introduces the overall architecture of the FMS system and summarizes various applications that it can support. Specifically, we present a study of commercial vehicle parking in Singapore to demonstrate the capability of the system. https://doi.org/10.1109/TITS.2019.2938828 2020-12-11T08:37:23Z 2020-12-11T08:37:23Z 2019 BB http://tailieuso.tlu.edu.vn/handle/DHTL/9904 en IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS , (2019), pp 12 application/pdf IEEE Xplore
institution	Trường Đại học Thủy Lợi
collection	DSpace
language	English
topic	Mobility sensing flow multi-source data collection, big data travel survey
spellingShingle	Mobility sensing flow multi-source data collection, big data travel survey You, Linlin A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
description	In studies of human mobility, there is a need for a holistic system for collection of sensing data, management of data flows, fusion of multiple data sources, and visualization of integrated data to better understand travel behavior. We have designed and implemented a generic Future Mobility Sensing (FMS) system to serve these purposes. FMS harnesses various sensing technologies, heterogeneous multi-source data and analytical functionalities with three dedicated platforms, namely 1) the FMS Data Collection Platform, which intertwines sensing objects, machine learning algorithms and user verifications to collect high resolution, multi-day travel data; 2) the FMS Data Management Platform, which provides standardized APIs to access data stored in an interconnected data model; and 3) the FMS Data Fusion and Visualization Platform, which consolidates multi-source data to be interpreted and presented. Together, the three platforms form a mobility sensing flow to facilitate data-driven analysis and decision-making. With FMS, heterogeneous multi-source data are suitably integrated for analysis, and multi-dimensional knowledge is extracted and presented in intuitive and interactive analytical dashboards. The system is intended to be generic to support different requirements of mobility studies, such as travel surveys, as its function modules are reusable and can be customized to support a unified data collection, management, fusion and visualization process. This paper introduces the overall architecture of the FMS system and summarizes various applications that it can support. Specifically, we present a study of commercial vehicle parking in Singapore to demonstrate the capability of the system.
author2	Zhao, Fang
author_facet	Zhao, Fang You, Linlin
format	BB
author	You, Linlin
author_sort	You, Linlin
title	A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
title_short	A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
title_full	A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
title_fullStr	A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
title_full_unstemmed	A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization
title_sort	generic future mobility sensing system for travel data collection, management, fusion, and visualization
publisher	IEEE Xplore
publishDate	2020
url	http://tailieuso.tlu.edu.vn/handle/DHTL/9904
work_keys_str_mv	AT youlinlin agenericfuturemobilitysensingsystemfortraveldatacollectionmanagementfusionandvisualization AT youlinlin genericfuturemobilitysensingsystemfortraveldatacollectionmanagementfusionandvisualization
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A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization

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