Although EU roads are the safest in the world, the target of halving the road deaths by 2020 was not achieved. Road Infrastructure Safety Management procedures are key to improve road safety performances, and their implementation is required for primary road networks. Specifically, Road Network Screening enables to apply a wide-level analysis to identify the most critical segments of the network, and direct in-depth investigations more efficiently. Crash prediction models (CPMs) are extremely useful tools for quantitative road safety analysis, and road network screening can greatly benefit from their application. The Highway Safety Manual (HSM) is one of the main references worldwide, but the reported models are subjected to transferability issues due to their site-specific formulation. Most of previous studies on CPMs focused on HSM calibration models or investigated the effect of several factors over the crash frequency on specific road type. However, to our knowledge, Europewide few attempts were performed to develop a road network screening by mean of CPM. This paper covers these gaps by developing a specific CPMs to screen county-road network and identify most critical segment. The model was applied to the main road network of the Province of Brescia (Northern Italy). Few, but significant variables were identified in the model and maps were produced to rank the road network based on the crash frequency values. This model can serve as a relevant decision support tool for all bodies responsible in the definition of road safety interventions and related resources allocation, prior than crashes occur.

Road Network Safety Screening of County Wide Road Network. The Case of the Province of Brescia (Northern Italy)

Bonera M.
;
Barabino B.;Maternini G.
2022-01-01

Abstract

Although EU roads are the safest in the world, the target of halving the road deaths by 2020 was not achieved. Road Infrastructure Safety Management procedures are key to improve road safety performances, and their implementation is required for primary road networks. Specifically, Road Network Screening enables to apply a wide-level analysis to identify the most critical segments of the network, and direct in-depth investigations more efficiently. Crash prediction models (CPMs) are extremely useful tools for quantitative road safety analysis, and road network screening can greatly benefit from their application. The Highway Safety Manual (HSM) is one of the main references worldwide, but the reported models are subjected to transferability issues due to their site-specific formulation. Most of previous studies on CPMs focused on HSM calibration models or investigated the effect of several factors over the crash frequency on specific road type. However, to our knowledge, Europewide few attempts were performed to develop a road network screening by mean of CPM. This paper covers these gaps by developing a specific CPMs to screen county-road network and identify most critical segment. The model was applied to the main road network of the Province of Brescia (Northern Italy). Few, but significant variables were identified in the model and maps were produced to rank the road network based on the crash frequency values. This model can serve as a relevant decision support tool for all bodies responsible in the definition of road safety interventions and related resources allocation, prior than crashes occur.
2022
978-3-030-79800-0
978-3-030-79801-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/556922
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