SPACE - Speed Adaption Control by Self Explaining Roads
Overview
Background & policy context:
A significant reduction in casualties can only be achieved by taking action on all three elements of the safe road system: driver, vehicle and road. Improving road infrastructure safety can be achieved by making roads forgiving and self-explaining. Self-explaining roads reduce crash likelihood and forgiving roads mitigate the severity of the outcome of a crash.
Objectives:
SPACE will identify solutions that offer the greatest potential safety gains through a state of the art review, international expert panel review, interactive visual tools and driving simulator experiment. This will lead to tools that can identify unsafe or non-explaining areas of the network and that are able to estimate the potential safety benefits of the road safety measure. These tools will register change in driving behaviour and also explain why changes occur. The developed tools will be used for evaluation of different measures aiming to find a self-explaining road. Other aims are to determine the speed adaption and situational awareness benefits of different self-explaining design measures. A comparison will be done of different approaches leading to recommended common strategies.
The work will be focused on rural roads and having Vision Zero and transnational benefits of the projects outcome in mind. Other considerations and limitations will be to look on effects of combination of measures, different road types and conditions, as well as different road user categories.
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