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14-11-2020 | Issue 1/2021

International Journal of Intelligent Transportation Systems Research 1/2021

Bayesian Network-Based Framework for Cost-Implication Assessment of Road Traffic Collisions

Journal:
International Journal of Intelligent Transportation Systems Research > Issue 1/2021
Authors:
Tebogo Makaba, Wesley Doorsamy, Babu Sena Paul
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Abstract

Investigating the cost-implications of road traffic collision factors is an important endeavour that has a direct impact on the economy, transport policies, cities and nations around the world. A Bayesian network framework model was developed using real-life road traffic collision data and expert knowledge to assess the cost of road traffic collisions. Findings of this study suggest that the framework is a promising approach for assessing the cost-implications associated with road traffic collisions. Moreover, adopting this framework with other computational intelligence approaches would have a positive impact towards achieving the Sustainable Development Goals in terms of road safety.

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