New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis

Zhiyong Cui; Shen Zhang; Kristian C. Henrickson; Yinhai Wang

doi:10.1109/ISC2.2016.07580736

New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis

Zhiyong Cui
, Shen Zhang
, Kristian C. Henrickson
, Yinhai Wang

Harbin Institute of Technology

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

10 Scopus citations

Abstract

Big data represents a new era in data exploration and utilization. With the growing quantity and variety of data being collected from intelligent transportation systems and other sensors, data-driven transportation research will rely on a new generation of tools to analyze and visualize those data. To address this need, the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) was developed to enable large-scale online data sharing, visualization, modeling and analysis. By incorporating an increasing variety of data sets from different sensing and acquisition technologies, the new DRIVE Net system provides a more stable, powerful, and interactive platform, and is now able to handle more complex computational tasks, visualize large-scale spatial data, and support data sharing services.

Original language	English
Title of host publication	IEEE 2nd International Smart Cities Conference
Subtitle of host publication	Improving the Citizens Quality of Life, ISC2 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509018451
DOIs	https://doi.org/10.1109/ISC2.2016.07580736
State	Published - 30 Sep 2016
Externally published	Yes
Event	2nd IEEE International Smart Cities Conference, ISC2 2016 - Trento, Italy Duration: 12 Sep 2016 → 15 Sep 2016

Publication series

Name	IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings

Conference

Conference	2nd IEEE International Smart Cities Conference, ISC2 2016
Country/Territory	Italy
City	Trento
Period	12/09/16 → 15/09/16

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Data modeling
Data sharing
Data visualization
EScience transportation platform

Access to Document

10.1109/ISC2.2016.07580736

Cite this

Cui, Z., Zhang, S., Henrickson, K. C., & Wang, Y. (2016). New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis. In IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings Article 07580736 (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC2.2016.07580736

Cui, Zhiyong ; Zhang, Shen ; Henrickson, Kristian C. et al. / New progress of DRIVE net : N E-science transportation platform for data sharing, visualization, modeling, and analysis. IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings).

@inproceedings{51652c68efac48bca97c525637610b58,

title = "New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis",

abstract = "Big data represents a new era in data exploration and utilization. With the growing quantity and variety of data being collected from intelligent transportation systems and other sensors, data-driven transportation research will rely on a new generation of tools to analyze and visualize those data. To address this need, the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) was developed to enable large-scale online data sharing, visualization, modeling and analysis. By incorporating an increasing variety of data sets from different sensing and acquisition technologies, the new DRIVE Net system provides a more stable, powerful, and interactive platform, and is now able to handle more complex computational tasks, visualize large-scale spatial data, and support data sharing services.",

keywords = "Data modeling, Data sharing, Data visualization, EScience transportation platform",

author = "Zhiyong Cui and Shen Zhang and Henrickson, \{Kristian C.\} and Yinhai Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Smart Cities Conference, ISC2 2016 ; Conference date: 12-09-2016 Through 15-09-2016",

year = "2016",

month = sep,

day = "30",

doi = "10.1109/ISC2.2016.07580736",

language = "英语",

series = "IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "IEEE 2nd International Smart Cities Conference",

address = "美国",

}

Cui, Z, Zhang, S, Henrickson, KC & Wang, Y 2016, New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis. in IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings., 07580736, IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Smart Cities Conference, ISC2 2016, Trento, Italy, 12/09/16. https://doi.org/10.1109/ISC2.2016.07580736

New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis. / Cui, Zhiyong; Zhang, Shen; Henrickson, Kristian C. et al.
IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 07580736 (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings).

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

TY - GEN

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AB - Big data represents a new era in data exploration and utilization. With the growing quantity and variety of data being collected from intelligent transportation systems and other sensors, data-driven transportation research will rely on a new generation of tools to analyze and visualize those data. To address this need, the Digital Roadway Interactive Visualization and Evaluation Network (DRIVE Net) was developed to enable large-scale online data sharing, visualization, modeling and analysis. By incorporating an increasing variety of data sets from different sensing and acquisition technologies, the new DRIVE Net system provides a more stable, powerful, and interactive platform, and is now able to handle more complex computational tasks, visualize large-scale spatial data, and support data sharing services.

KW - Data modeling

KW - Data sharing

KW - Data visualization

KW - EScience transportation platform

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M3 - 会议稿件

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ER -

Cui Z, Zhang S, Henrickson KC, Wang Y. New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis. In IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 07580736. (IEEE 2nd International Smart Cities Conference: Improving the Citizens Quality of Life, ISC2 2016 - Proceedings). doi: 10.1109/ISC2.2016.07580736

New progress of DRIVE net: N E-science transportation platform for data sharing, visualization, modeling, and analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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