From big data to speed and safety: A review of surrogate safety measures based on speeds from floating car data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F17%3AN0000084" target="_blank" >RIV/44994575:_____/17:N0000084 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
From big data to speed and safety: A review of surrogate safety measures based on speeds from floating car data
Original language description
(presented at 2017 Australasian Road Safety Conference, Perth, 10. – 12. 10. 2017) In order to overcome biases of crash-based safety analyses, research is looking for surrogate safety measures. A candidate are speeds derived from floating car data (FCD, or probe vehicle data). The goal of the review is to identify challenges and opportunities regarding using FCD speeds to develop surrogate safety measures. Specific points focused on the questions of sampling rate, study size, free-flow speed determination, reliability and validity. The review indicated several remaining knowledge gaps in relation to reliability of different FCD speed sources, sampling design, or estimation of free-flow speeds. Many of these gaps are likely to be quickly resolved at the current rate of research. The main conclusion is that benefits, limitations and nature of different FCD sources need to be carefully understood and considered before adopting FCD speeds as a surrogate safety measure. Further research and development opportunities exist in the subject area.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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