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Titolo:
Identification of sites for road accident remedial work by Bayesian statistical methods: an example of uncertain inference
Autore:
Heydecker, BG; Wu, J;
Indirizzi:
Univ Coll London, Ctr Transport Studies, London WC1E 6BT, England Univ Coll London London England WC1E 6BT udies, London WC1E 6BT, England
Titolo Testata:
ADVANCES IN ENGINEERING SOFTWARE
fascicolo: 10-11, volume: 32, anno: 2001,
pagine: 859 - 869
SICI:
0965-9978(200110/11)32:10-11<859:IOSFRA>2.0.ZU;2-L
Fonte:
ISI
Lingua:
ENG
Keywords:
Bayesian; log-linear model; mean frequency; road accidents; road safety;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
11
Recensione:
Indirizzi per estratti:
Indirizzo: Heydecker, BG Univ Coll London, Ctr Transport Studies, Gower St, London WC1E 6BT, England Univ Coll London Gower St London England WC1E 6BT , England
Citazione:
B.G. Heydecker e J. Wu, "Identification of sites for road accident remedial work by Bayesian statistical methods: an example of uncertain inference", ADV EN SOFT, 32(10-11), 2001, pp. 859-869

Abstract

Road accident remedial work can be effected in many cases by implementing low cost engineering measures. These are intended to restore the safety performance of sites to which they are applied to prevailing levels according to their kind, traffic flows and design. This approach is, therefore, appropriate to sites where the mean accident frequency exceeds a standard value for that site. In this paper, we present several analyses that provide quantitative but uncertain indications of which sites should be considered for this kind of treatment according to their accident record. We describe fourmeasures that are informative in this respect - the count of accidents, anestimate of the mean accident frequency, the amount by which this estimateexceeds a standard value, and the probability that it does so. We illustrate the use of these analyses by applying them to a dataset of accident records of priority controlled road junctions and compare the results of using the different measures. (C) 2001 Civil-Comp Ltd and Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/09/20 alle ore 20:21:04