Road safety for fleets of vehicles has been neglected in the insurance literature, mainly because appropriate data is … not available. This paper makes a threefold contribution: 1) Produce statistics on current fleets’ road safety offences … classify the riskiest fleets for insurance ratemaking based on past experience in managing road safety. Our results show a …

Road safety in Africa remains a big challenge. Globally, Africa has the highest fatality rate of all the continents … of Action (2011-2020), the African Road Safety Action Plan, the African Road Safety Charter, and the targets set out in … the Sustainable Development Goals (SDGs), Africa has made strong commitments to improve road safety outcomes on the …

and machine learning (ML) can be leveraged in road safety analysis. The document presents opportunities to use these new … technologies to improve current road safety assessment procedures across the project cycle, in accordance with the World Bank … interested in using new data sources and analytical methods for road safety analysis across various types of projects. This …

note is to provide concrete guidance on how big data and machine learning (ML) can be leveraged in road safety analysis … analysis for various road safety assessments. This guidance note provides a practical guide for using new data sources and … analytical methods for road safety analysis in different types of projects that may impact road infrastructure or risk …

In many countries around the world, deficiencies in data or data quality impair evidence-based road safety policy … making. While many countries collect road safety data, the collection is not necessarily comprehensive. Further, many … countries can be unaware of data gaps in their system, which prevents them from soundly analyzing their road safety problems …