Identification of vehicle related risk factors, deliverable 6.1 of the H2020 project SafetyCube

The present Deliverable (D6.1) describes the identification and evaluation of vehicle related risk factors. It outlines the results of Task 6.1 of Work Package 6 (WP6) of SafetyCube, which aimed to identify and evaluate vehicle related risk factors and related road safety problems by (i) presenting a taxonomy of vehicle related risks, (ii) identifying “hot topics” of concern for relevant stakeholders and (iii) evaluating the relative importance for road safety outcomes (crash risk, crash frequency and severity etc.) within the scientific literature for each identified risk factor. To reach this objective, Task 6.1 has initially exploited current knowledge (e.g. existing studies) and existing accident data (macroscopic and in-depth) in order to quantify scenarios (defined in Work Package 8) related to the vehicle element. This information will help further on in WP6 to identify countermeasures for addressing these risk factors and finally to undertake an assessment of the effects of these countermeasures (...continues)

Description of data-sources used in SafetyCube. Deliverable 3.1 of the H2020 project SafetyCube

Safety CaUsation, Benefits and Efficiency (SafetyCube) is a European Commission supported Horizon 2020 project with the objective of developing an innovative road safety Decision Support System (DSS) that will enable policy-makers and stakeholders to select and implement the most appropriate strategies, measures and cost-effective approaches to reduce casualties of all road user types and all severities. This deliverable describes the available data in the form of an inventory of databases that can be used for analyses within the project. Two general types of data are available: one describing the involvement of different components for the road safety (vehicles, infrastructure, and the road user) and one describing the injury outcomes of a crash. These two database categories are available to the partners of SafetyCube and gathered in two excel tables. One table contains traffic databases (accident and naturalistic driving studies) and the second table contains injury databases. The tables contain information on 58 and 35 variables, respectively. The key information describing the databases that was needed for the inventory were items such as: Type of data collected (crashes, injuries, etc.) Documentation of the variables Sampling criteria for the data collected SafetyCube partners with access to the data Extent of data access (raw data vs. summary tables) The tables contain 36 traffic accident databases, five naturalistic driving studies or field-tests and 22 injury databases where of four were coded in both sheets