e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information

Marco Jansen; Fatjon  Seraj

doi:10.1109/PerComWorkshops48775.2020.9156181

e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information

Marco Jansen^*, Fatjon Seraj

^*Corresponding author for this work

Pervasive Systems

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

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Abstract

The huge amount of streaming information generated by the new wave of edge devices that are used to monitor a plethora of everyday aspects, prompts the need for efficient techniques to handle, process, aggregate, and visualize this stream of data. One such field is the continuous transport infrastructure monitoring, where smartphones inside driving vehicles act as edge sensing and computing nodes to measure the quality of the road pavement among other things. Although the location accuracy of such devices is within the acceptable bounds, the accumulated error can lead to large deviations from the location of interest, reducing the measurement credibility. The data represent a geographically vast infrastructure network in need of real-time, bird-eye visualization. This paper describes the implementation of such a real-time platform and the challenges the task provides. By implementing relatively new open-source cross-platform environments, the platform is scalable and versatile, reducing the costs associated with cloud-based implementation systems.

Original language	English
Title of host publication	2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	978-1-7281-4716-1
ISBN (Print)	978-1-7281-4717-8
DOIs	https://doi.org/10.1109/PerComWorkshops48775.2020.9156181
Publication status	Published - 4 Aug 2020
Event	2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2020 - University of Austin, Austin, United States Duration: 23 Mar 2020 → 27 Mar 2020 Conference number: 18 http://percom.org/Previous/ST2020/

Conference

Conference	2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2020
Abbreviated title	PerCom
Country/Territory	United States
City	Austin
Period	23/03/20 → 27/03/20
Internet address	http://percom.org/Previous/ST2020/

Keywords

Crowd-sensing
Delaunay triangulation
Computational geometry
Infrastructure health monitoring
Map generation
Map-matching
Predictive maintenance
n/a OA procedure

UN SDGs

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

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10.1109/PerComWorkshops48775.2020.9156181

Cite this

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title = "e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information",

abstract = "The huge amount of streaming information generated by the new wave of edge devices that are used to monitor a plethora of everyday aspects, prompts the need for efficient techniques to handle, process, aggregate, and visualize this stream of data. One such field is the continuous transport infrastructure monitoring, where smartphones inside driving vehicles act as edge sensing and computing nodes to measure the quality of the road pavement among other things. Although the location accuracy of such devices is within the acceptable bounds, the accumulated error can lead to large deviations from the location of interest, reducing the measurement credibility. The data represent a geographically vast infrastructure network in need of real-time, bird-eye visualization. This paper describes the implementation of such a real-time platform and the challenges the task provides. By implementing relatively new open-source cross-platform environments, the platform is scalable and versatile, reducing the costs associated with cloud-based implementation systems.",

keywords = "Crowd-sensing, Delaunay triangulation, Computational geometry, Infrastructure health monitoring, Map generation, Map-matching, Predictive maintenance, n/a OA procedure",

author = "Marco Jansen and Fatjon Seraj",

year = "2020",

month = aug,

day = "4",

doi = "10.1109/PerComWorkshops48775.2020.9156181",

language = "English",

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booktitle = "2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)",

publisher = "IEEE",

address = "United States",

note = "2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2020, PerCom ; Conference date: 23-03-2020 Through 27-03-2020",

url = "http://percom.org/Previous/ST2020/",

}

Jansen, M & Seraj, F 2020, e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information. in 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)., 9156181, IEEE, Piscataway, NJ, 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom 2020, Austin, Texas, United States, 23/03/20. https://doi.org/10.1109/PerComWorkshops48775.2020.9156181

e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information. / Jansen, Marco; Seraj, Fatjon .
2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). Piscataway, NJ: IEEE, 2020. 9156181.

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

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AU - Seraj, Fatjon

N1 - Conference code: 18

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Y1 - 2020/8/4

N2 - The huge amount of streaming information generated by the new wave of edge devices that are used to monitor a plethora of everyday aspects, prompts the need for efficient techniques to handle, process, aggregate, and visualize this stream of data. One such field is the continuous transport infrastructure monitoring, where smartphones inside driving vehicles act as edge sensing and computing nodes to measure the quality of the road pavement among other things. Although the location accuracy of such devices is within the acceptable bounds, the accumulated error can lead to large deviations from the location of interest, reducing the measurement credibility. The data represent a geographically vast infrastructure network in need of real-time, bird-eye visualization. This paper describes the implementation of such a real-time platform and the challenges the task provides. By implementing relatively new open-source cross-platform environments, the platform is scalable and versatile, reducing the costs associated with cloud-based implementation systems.

AB - The huge amount of streaming information generated by the new wave of edge devices that are used to monitor a plethora of everyday aspects, prompts the need for efficient techniques to handle, process, aggregate, and visualize this stream of data. One such field is the continuous transport infrastructure monitoring, where smartphones inside driving vehicles act as edge sensing and computing nodes to measure the quality of the road pavement among other things. Although the location accuracy of such devices is within the acceptable bounds, the accumulated error can lead to large deviations from the location of interest, reducing the measurement credibility. The data represent a geographically vast infrastructure network in need of real-time, bird-eye visualization. This paper describes the implementation of such a real-time platform and the challenges the task provides. By implementing relatively new open-source cross-platform environments, the platform is scalable and versatile, reducing the costs associated with cloud-based implementation systems.

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KW - Delaunay triangulation

KW - Computational geometry

KW - Infrastructure health monitoring

KW - Map generation

KW - Map-matching

KW - Predictive maintenance

KW - n/a OA procedure

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M3 - Conference contribution

SN - 978-1-7281-4717-8

BT - 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

PB - IEEE

CY - Piscataway, NJ

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ER -

e-Sight: Real-time cloud platform for visualizing edge transport infrastructure information

Abstract

Conference

Keywords

UN SDGs

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