Using Business Intelligence to Analyze Road Traffic Accidents

Mohammed Awad; Aneesa Al Redhaei; Salam Fraihat

doi:10.1145/3551504.3551507

Using Business Intelligence to Analyze Road Traffic Accidents

Mohammed Awad
, Aneesa Al Redhaei
, Salam Fraihat

College of Engineering and Information Technology

American University of Ras Al Khaimah

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

1 Scopus citations

Abstract

Road Traffic Accidents constitute a significant concern around the world. Understanding the primary and contributing factors may combat traffic accidents and mitigate their impact. Based on an actual traffic accidents dataset of the United Arab Emirates (UAE) between 2012-2019, we investigate the importance of data science and Business Intelligence (BI) in visualizing traffic accidents in a descriptive format. The proposed BI solution provides visual data exploration for authorities to analyze and make informed decisions. This paper provides an example of how open data can save lives and resources. The design and implementation of the BI solution and its features are also presented in this paper.

Original language	English
Title of host publication	Proceedings of Central and Eastern European e\|Dem and e\|Gov Days 2022
Subtitle of host publication	Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022
Publisher	Association for Computing Machinery
Pages	83-92
Number of pages	10
ISBN (Electronic)	9781450397667
DOIs	https://doi.org/10.1145/3551504.3551507
State	Published - 22 Sep 2022
Event	2022 Central and Eastern European eDem and eGov Days: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022 - Budapest, Hungary Duration: 22 Sep 2022 → 23 Sep 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2022 Central and Eastern European eDem and eGov Days: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022
Country/Territory	Hungary
City	Budapest
Period	22/09/22 → 23/09/22

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 16 Peace, Justice and Strong Institutions

Keywords

Business intelligence
Data analytics
Descriptive analysis
E-government
Road traffic accidents
Traffic management

Access to Document

10.1145/3551504.3551507

Cite this

Awad, M., Al Redhaei, A., & Fraihat, S. (2022). Using Business Intelligence to Analyze Road Traffic Accidents. In Proceedings of Central and Eastern European e|Dem and e|Gov Days 2022: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022 (pp. 83-92). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3551504.3551507

@inproceedings{fb5fe4d4aef34f0db377bf41892b1cb3,

title = "Using Business Intelligence to Analyze Road Traffic Accidents",

abstract = "Road Traffic Accidents constitute a significant concern around the world. Understanding the primary and contributing factors may combat traffic accidents and mitigate their impact. Based on an actual traffic accidents dataset of the United Arab Emirates (UAE) between 2012-2019, we investigate the importance of data science and Business Intelligence (BI) in visualizing traffic accidents in a descriptive format. The proposed BI solution provides visual data exploration for authorities to analyze and make informed decisions. This paper provides an example of how open data can save lives and resources. The design and implementation of the BI solution and its features are also presented in this paper.",

keywords = "Business intelligence, Data analytics, Descriptive analysis, E-government, Road traffic accidents, Traffic management",

author = "Mohammed Awad and \{Al Redhaei\}, Aneesa and Salam Fraihat",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 Central and Eastern European eDem and eGov Days: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022 ; Conference date: 22-09-2022 Through 23-09-2022",

year = "2022",

month = sep,

day = "22",

doi = "10.1145/3551504.3551507",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "83--92",

booktitle = "Proceedings of Central and Eastern European e|Dem and e|Gov Days 2022",

address = "United States",

}

Awad, M, Al Redhaei, A & Fraihat, S 2022, Using Business Intelligence to Analyze Road Traffic Accidents. in Proceedings of Central and Eastern European e|Dem and e|Gov Days 2022: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 83-92, 2022 Central and Eastern European eDem and eGov Days: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022, Budapest, Hungary, 22/09/22. https://doi.org/10.1145/3551504.3551507

Using Business Intelligence to Analyze Road Traffic Accidents. / Awad, Mohammed; Al Redhaei, Aneesa; Fraihat, Salam.
Proceedings of Central and Eastern European e|Dem and e|Gov Days 2022: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022. Association for Computing Machinery, 2022. p. 83-92 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Using Business Intelligence to Analyze Road Traffic Accidents

AU - Awad, Mohammed

AU - Al Redhaei, Aneesa

AU - Fraihat, Salam

PY - 2022/9/22

Y1 - 2022/9/22

N2 - Road Traffic Accidents constitute a significant concern around the world. Understanding the primary and contributing factors may combat traffic accidents and mitigate their impact. Based on an actual traffic accidents dataset of the United Arab Emirates (UAE) between 2012-2019, we investigate the importance of data science and Business Intelligence (BI) in visualizing traffic accidents in a descriptive format. The proposed BI solution provides visual data exploration for authorities to analyze and make informed decisions. This paper provides an example of how open data can save lives and resources. The design and implementation of the BI solution and its features are also presented in this paper.

AB - Road Traffic Accidents constitute a significant concern around the world. Understanding the primary and contributing factors may combat traffic accidents and mitigate their impact. Based on an actual traffic accidents dataset of the United Arab Emirates (UAE) between 2012-2019, we investigate the importance of data science and Business Intelligence (BI) in visualizing traffic accidents in a descriptive format. The proposed BI solution provides visual data exploration for authorities to analyze and make informed decisions. This paper provides an example of how open data can save lives and resources. The design and implementation of the BI solution and its features are also presented in this paper.

KW - Business intelligence

KW - Data analytics

KW - Descriptive analysis

KW - E-government

KW - Road traffic accidents

KW - Traffic management

UR - https://www.scopus.com/pages/publications/85143413420

U2 - 10.1145/3551504.3551507

DO - 10.1145/3551504.3551507

M3 - Conference contribution

AN - SCOPUS:85143413420

T3 - ACM International Conference Proceeding Series

SP - 83

EP - 92

BT - Proceedings of Central and Eastern European e|Dem and e|Gov Days 2022

PB - Association for Computing Machinery

T2 - 2022 Central and Eastern European eDem and eGov Days: Hate Speech and Fake News - Fate or Issue to Tackle?, CEEeGov 2022

Y2 - 22 September 2022 through 23 September 2022

ER -

Using Business Intelligence to Analyze Road Traffic Accidents

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this