Citation

De Mello R, Chiodi RD. Int. J. Inj. Control Safe. Promot. 2018; 25(4): 408-415.

Affiliation

25th Education Management , Santa Catarina State Secretariat for Education - SED, Sao Bento do Sul , Santa Catarina , Brazil.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/17457300.2018.1456467

PMID

29629611

Abstract

This paper presents a fuzzy logic model to support decisions for the suggested speed limit for sections of highways as they become affected by adverse road conditions, environmental factors and differing traffic levels. The definition of the main factors, and their weight, that reduce safety on highways was conducted by the Delphi method, consulting traffic engineering experts. The survey served as a basis for structuring indicators and indexes in a soft decision tree, structured by a fuzzy logic system. The system can be used to support the decisions of those that manage the roads, indicating to drivers' speeds, by visual, audible or combined systems.

Language: en

Keywords

Suggested speed; fuzzy systems; highways safety; soft decision trees