Analysis of the New York City's Vehicle Crash Open Data

Abhishek Saxena; Stefan A. Robila

doi:10.1109/BigData52589.2021.9672012

Analysis of the New York City's Vehicle Crash Open Data

Abhishek Saxena
, Stefan A. Robila

Computer Science

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

4 Scopus citations

Abstract

Publication and curation of open data creates value to the society by stimulating innovation, increasing accountability, and building trust. In transportation studies, continuous increase in data availability, especially through the open data movement has led to acceleration of research. Yet, for it to be broadly accessible, open data also need to be accompanied by easy-to-use interfaces that facilitate further research. This paper details the development of a New York City (NYC) vehicle crash analysis tool and provides detailed insights using big data technologies. The tool includes an intuitive interface, allowing for direct visualization of data. It explores the vehicle crash data from last 9 years to observe trends related to person injuries and fatalities happening in the boroughs of NYC. The tool also allows more in-depth research such as causal analysis on the top reasons or major contributing factors to a crash and gaining of insights based on the reported data to mitigate future traffic related fatalities.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
Editors	Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama Fayyad, Xingquan Zhu, Xiaohua Tony Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6017-6019
Number of pages	3
ISBN (Electronic)	9781665439022
DOIs	https://doi.org/10.1109/BigData52589.2021.9672012
State	Published - 2021
Event	2021 IEEE International Conference on Big Data, Big Data 2021 - Virtual, Online, United States Duration: 15 Dec 2021 → 18 Dec 2021

Publication series

Name	Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

Conference

Conference	2021 IEEE International Conference on Big Data, Big Data 2021
Country/Territory	United States
City	Virtual, Online
Period	15/12/21 → 18/12/21

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Open Data
accident data
big data
visualization

Access to Document

10.1109/BigData52589.2021.9672012

Cite this

Saxena, A., & Robila, S. A. (2021). Analysis of the New York City's Vehicle Crash Open Data. In Y. Chen, H. Ludwig, Y. Tu, U. Fayyad, X. Zhu, X. T. Hu, S. Byna, X. Liu, J. Zhang, S. Pan, V. Papalexakis, J. Wang, A. Cuzzocrea, & C. Ordonez (Eds.), Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 (pp. 6017-6019). (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData52589.2021.9672012

Saxena, Abhishek ; Robila, Stefan A. / Analysis of the New York City's Vehicle Crash Open Data. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. editor / Yixin Chen ; Heiko Ludwig ; Yicheng Tu ; Usama Fayyad ; Xingquan Zhu ; Xiaohua Tony Hu ; Suren Byna ; Xiong Liu ; Jianping Zhang ; Shirui Pan ; Vagelis Papalexakis ; Jianwu Wang ; Alfredo Cuzzocrea ; Carlos Ordonez. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 6017-6019 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

@inproceedings{678c5010f9c344909761abd0ce1817c5,

title = "Analysis of the New York City's Vehicle Crash Open Data",

abstract = "Publication and curation of open data creates value to the society by stimulating innovation, increasing accountability, and building trust. In transportation studies, continuous increase in data availability, especially through the open data movement has led to acceleration of research. Yet, for it to be broadly accessible, open data also need to be accompanied by easy-to-use interfaces that facilitate further research. This paper details the development of a New York City (NYC) vehicle crash analysis tool and provides detailed insights using big data technologies. The tool includes an intuitive interface, allowing for direct visualization of data. It explores the vehicle crash data from last 9 years to observe trends related to person injuries and fatalities happening in the boroughs of NYC. The tool also allows more in-depth research such as causal analysis on the top reasons or major contributing factors to a crash and gaining of insights based on the reported data to mitigate future traffic related fatalities.",

keywords = "Open Data, accident data, big data, visualization",

author = "Abhishek Saxena and Robila, \{Stefan A.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Big Data, Big Data 2021 ; Conference date: 15-12-2021 Through 18-12-2021",

year = "2021",

doi = "10.1109/BigData52589.2021.9672012",

language = "English",

series = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",

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

pages = "6017--6019",

editor = "Yixin Chen and Heiko Ludwig and Yicheng Tu and Usama Fayyad and Xingquan Zhu and Hu, \{Xiaohua Tony\} and Suren Byna and Xiong Liu and Jianping Zhang and Shirui Pan and Vagelis Papalexakis and Jianwu Wang and Alfredo Cuzzocrea and Carlos Ordonez",

booktitle = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",

}

Saxena, A & Robila, SA 2021, Analysis of the New York City's Vehicle Crash Open Data. in Y Chen, H Ludwig, Y Tu, U Fayyad, X Zhu, XT Hu, S Byna, X Liu, J Zhang, S Pan, V Papalexakis, J Wang, A Cuzzocrea & C Ordonez (eds), Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, Institute of Electrical and Electronics Engineers Inc., pp. 6017-6019, 2021 IEEE International Conference on Big Data, Big Data 2021, Virtual, Online, United States, 15/12/21. https://doi.org/10.1109/BigData52589.2021.9672012

Analysis of the New York City's Vehicle Crash Open Data. / Saxena, Abhishek; Robila, Stefan A.
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. ed. / Yixin Chen; Heiko Ludwig; Yicheng Tu; Usama Fayyad; Xingquan Zhu; Xiaohua Tony Hu; Suren Byna; Xiong Liu; Jianping Zhang; Shirui Pan; Vagelis Papalexakis; Jianwu Wang; Alfredo Cuzzocrea; Carlos Ordonez. Institute of Electrical and Electronics Engineers Inc., 2021. p. 6017-6019 (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021).

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

TY - GEN

T1 - Analysis of the New York City's Vehicle Crash Open Data

AU - Saxena, Abhishek

AU - Robila, Stefan A.

PY - 2021

Y1 - 2021

N2 - Publication and curation of open data creates value to the society by stimulating innovation, increasing accountability, and building trust. In transportation studies, continuous increase in data availability, especially through the open data movement has led to acceleration of research. Yet, for it to be broadly accessible, open data also need to be accompanied by easy-to-use interfaces that facilitate further research. This paper details the development of a New York City (NYC) vehicle crash analysis tool and provides detailed insights using big data technologies. The tool includes an intuitive interface, allowing for direct visualization of data. It explores the vehicle crash data from last 9 years to observe trends related to person injuries and fatalities happening in the boroughs of NYC. The tool also allows more in-depth research such as causal analysis on the top reasons or major contributing factors to a crash and gaining of insights based on the reported data to mitigate future traffic related fatalities.

AB - Publication and curation of open data creates value to the society by stimulating innovation, increasing accountability, and building trust. In transportation studies, continuous increase in data availability, especially through the open data movement has led to acceleration of research. Yet, for it to be broadly accessible, open data also need to be accompanied by easy-to-use interfaces that facilitate further research. This paper details the development of a New York City (NYC) vehicle crash analysis tool and provides detailed insights using big data technologies. The tool includes an intuitive interface, allowing for direct visualization of data. It explores the vehicle crash data from last 9 years to observe trends related to person injuries and fatalities happening in the boroughs of NYC. The tool also allows more in-depth research such as causal analysis on the top reasons or major contributing factors to a crash and gaining of insights based on the reported data to mitigate future traffic related fatalities.

KW - Open Data

KW - accident data

KW - big data

KW - visualization

UR - https://www.scopus.com/pages/publications/85125334231

U2 - 10.1109/BigData52589.2021.9672012

DO - 10.1109/BigData52589.2021.9672012

M3 - Conference contribution

AN - SCOPUS:85125334231

T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

SP - 6017

EP - 6019

BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021

A2 - Chen, Yixin

A2 - Ludwig, Heiko

A2 - Tu, Yicheng

A2 - Fayyad, Usama

A2 - Zhu, Xingquan

A2 - Hu, Xiaohua Tony

A2 - Byna, Suren

A2 - Liu, Xiong

A2 - Zhang, Jianping

A2 - Pan, Shirui

A2 - Papalexakis, Vagelis

A2 - Wang, Jianwu

A2 - Cuzzocrea, Alfredo

A2 - Ordonez, Carlos

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Big Data, Big Data 2021

Y2 - 15 December 2021 through 18 December 2021

ER -

Saxena A, Robila SA. Analysis of the New York City's Vehicle Crash Open Data. In Chen Y, Ludwig H, Tu Y, Fayyad U, Zhu X, Hu XT, Byna S, Liu X, Zhang J, Pan S, Papalexakis V, Wang J, Cuzzocrea A, Ordonez C, editors, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 6017-6019. (Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021). doi: 10.1109/BigData52589.2021.9672012

Analysis of the New York City's Vehicle Crash Open Data

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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