Detailed Analysis and Identification of Key Factors Resulting in Motor Accidents Across the UK

Harshita Garg

doi:10.34257/GJCSTDVOL21IS1PG1

Detailed Analysis and Identification of Key Factors Resulting in Motor Accidents Across the UK

Harshita Garg * §

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Birkbeck University, London

Detailed Analysis and Identification of Key Factors Resulting in Motor Accidents Across the UK

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CSTUZA01

DOI
10.34257/GJCSTDVOL21IS1PG1

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Abstract

Motor accidents across the globe amount to a large number of deaths every year. The collisions result in not just the personal injury to people involved but also in the loss of money to the motor insurance companies, trauma to the people involved, and added pressure on the emergency services. With the help of data analytics techniques, this project aims to identify critical factors that might contribute to the accidents. Upon investigating the temporal features and geo-spatial features of the motor accident locations, we tried to establish a correlation between the accident intensity and its key factors. For this exploratory analysis, we also considered weather conditions and daily average traffic flow data. We then trained Supervised learning models on the data to find out the best performing multi-label classification model.

References

8 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Harshita Garg. 2021. "Detailed Analysis and Identification of Key Factors Resulting in Motor Accidents Across the UK". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 21 (GJCST Volume 21 Issue D1).

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GJCST Volume 21 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-D Classification J.0

Submission ReceivedJune 12, 2021
Peer Review Double Blind
Handling Editor
Accepted July 1, 2021
Published July 15, 2021

Version of record

v1.2

Issue date

March 25, 2021

Language

English

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