Influence of pavement condition towards accident number on Malaysian highway

Baskara, Sudesh Nair; Yaacob, Haryati; Hainin, Mohd Rosli; Hassan, Sitti Asmah; Mashros, Nordiana; Yunus, Nor Zurairahetty Mohd; Hassan, Norhidayah Abdul; Warid, Muhammad Naqiuddin Mohd; Idham, M. K.; Ismail, Che Ros; Nor, Hasanan Md.; Mohamad, Afiqa; Aziz, Md. Maniruzzaman A.; Afiqah, Rawi Noraihan; Ahmad, Mohd Shahrir Amin; Jaya, Ramadhansyah Putra

doi:10.1088/1755-1315/220/1/012008

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…Second, we will focus on accident expertise because accidents cause important material and human loss. For example, a mutual insurance company in Chile registered 625,050 work accidents from 2015 to 2019 with thousands of deaths and disabilities [6], and the World Health Organization (WHO) counted about 1.25 Million deaths in road accidents [7]. Another alarming statistic that motivated the choice of accident expertise is that in Canada, almost 3000 people are killed every year in road traffic accidents [8].…”

Section: Motivationsmentioning

confidence: 99%

Construction of a base ontology to represent accident expertise knowledge

Sounchio¹,

Kamsu-Foguem²,

Geneste³

2023

Cogn Tech Work

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Expertise is an activity carried out by experts that contributes to societal progress, as it helps to elucidate unknown situations. For example, accident expertise eases accident understanding, by describing how it happened, and by identifying its causes and consequences. As a result, the design of accident expertise in a convenient human-machine structure will enable the querying, reasoning, and reuse of accident knowledge in other tools, such as safety and decision-making systems. However, existing representations of accident knowledge, such as documents, relational databases, or accident ontologies, do not fulfill accident expertise expectations. Moreover, these representations are unlikely to provide the appropriate use of accident expertise knowledge. This study presents a base ontology for accident expertise knowledge representation designed with a model-driven methodology and implemented with semantic web technologies. The study obtained satisfactory results from the evaluation and application of extension and reuse of this ontology with aircraft accident expertise taken from the French bureau of Enquiries and Analysis (BEA) for civil aviation safety.

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Section: Motivationsmentioning

confidence: 99%

Construction of a base ontology to represent accident expertise knowledge

Sounchio¹,

Kamsu-Foguem²,

Geneste³

2023

Cogn Tech Work

View full text Add to dashboard Cite

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Measurement and Analysis of International Roughness Index using IoT-based System

Hafizh,

Abdullah,

Ateeq

et al. 2023

2023 IEEE Symposium on Wireless Technology &Amp; Applications (ISWTA)

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Construction of a base ontology to represent accident expertise knowledge

SOUNCHIO

Foguem

Geneste

2022

Preprint

View full text Add to dashboard Cite

Expertise is an activity carried out by experts that contributes to societal progress, as it helps to elucidate unknown situations. Forexample, accident expertise eases accident understanding, by describing how it happened, and by identifying its causes and conse-quences. As a result, the design of accident expertise in a convenient human-machine structure will enable the querying, reasoning,and reuse of accident knowledge in other tools, such as safety and decision-making systems. However, existing representations ofaccident knowledge, such as documents, relational databases, or accident ontologies, do not fulfill accident expertise expectations.Moreover, these representations are unlikely to provide the appropriate use of accident expertise knowledge. This study presents a base ontology for accident expertise knowledge representation designed with a model-driven methodologyand implemented with semantic web technologies. The study obtained satisfactory results from the evaluation and application ofextension and reuse of this ontology with aircraft accident expertise taken from the French bureau of Enquiries and Analysis (BEA)for civil aviation safety.

show abstract

Influence of pavement condition towards accident number on Malaysian highway

Cited by 4 publications

References 9 publications

Construction of a base ontology to represent accident expertise knowledge

Construction of a base ontology to represent accident expertise knowledge

Measurement and Analysis of International Roughness Index using IoT-based System

Construction of a base ontology to represent accident expertise knowledge

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