Updating predictive accident models of modern rural single carriageway A-roads.

Author(s)
Wood, A.G. Mountain, L.J. Connors, R.D. & Maher M.J.
Year
Abstract

Reliable predictive accident models (PAMs) are essential to design and maintain safe road networks, and yet the models most commonly used in the UK were derived using data collected 20 to 30 years ago. Given that the national personal injury accident total fell by some 30% in the last 25 years, while road traffic increased by over 60%, significant errors in scheme appraisal and evaluation based on the models currently in use seem inevitable. In this paper, the temporal transferability of PAMs for modern rural single carriageway A-roads is investigated, and their predictive performance is evaluated against a recent data set. Despite the age of these models, the PAMs for predicting the total accidents provide a remarkably good fit to recent data and these are more accurate than models where accidents are disaggregated by type. The performance of the models can be improved by calibrating them against recent data. (Author/publisher)

Publication

Library number
20130420 ST [electronic version only]
Source

Transportation Planning and Technology, Vol. 36 (2013), No. 1, Special Issue: Universities' Transport Study Group UK Annual Conference 2012, p. 93-108, 16 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.