Safety effects of automated section speed control on the Italian motorway network.


Journal

Journal of safety research
ISSN: 1879-1247
Titre abrégé: J Safety Res
Pays: United States
ID NLM: 1264241

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 16 08 2018
revised: 06 01 2019
accepted: 06 03 2019
entrez: 26 6 2019
pubmed: 27 6 2019
medline: 28 4 2020
Statut: ppublish

Résumé

Automated Section Speed Control (ASSC) has been identified as an effective countermeasure to reduce speeds and improve speed limit compliance. An Empirical Bayes (EB) before-and-after study was performed in this research in order to evaluate the impact of the ASSC system on the expected crash frequency. The study was carried out on a sample of 125 ASSC sites of the Italian motorway network covering 1252 km, where a total of 21,721 crashes were recorded during a 10-year analysis period from 2004 to 2013. Overall, the EB analysis estimated a significant 22% reduction in the expected crash frequency due to the implementation of the ASSC system. The analysis indicated that the effect is slightly larger on property damage only (PDO) crashes (-23%) than on fatal injury (FI) crashes (-18%) and that the highest reductions in crash frequency are expected for multi-vehicle FI crashes (-25%) and multi-vehicle PDO crashes (-31%). Furthermore, the results indicated that the ASSC system is more effective in reducing crash rates when traffic volume increases and it is therefore strongly recommended as a countermeasure to improve safety on high-traffic-volume motorway sections.

Identifiants

pubmed: 31235223
pii: S0022-4375(18)30602-9
doi: 10.1016/j.jsr.2019.03.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

115-123

Informations de copyright

Copyright © 2019 National Safety Council and Elsevier Ltd. All rights reserved.

Auteurs

Francesca La Torre (F)

Civil and Environmental Engineering Department, University of Florence, Via Santa Marta 3, 50139 Firenze, Italy. Electronic address: francesca.latorre@unifi.it.

Monica Meocci (M)

Civil and Environmental Engineering Department, University of Florence, Via Santa Marta 3, 50139 Firenze, Italy. Electronic address: monica.meocci@unifi.it.

Alessandro Nocentini (A)

Spea Engineering, S.p.A., via G. Vida, 11, 20127 Milano, Italy. Electronic address: alessandro.nocentini@speaengineering.it.

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Classifications MeSH