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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9248

Title: Development of a Composite Road Safety Performance Indicator based on Neural Networks
Authors: SHEN, Yongjun
HERMANS, Elke
RUAN, Da
WETS, Geert
VANHOOF, Koen
BRIJS, Tom
Issue Date: 2008
Publisher: IEEE
Citation: Li, S. & Li, T. & Ruan, D. (Ed.) 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2. p. 901-906.
Abstract: Road safety performance indicators as a comprehensible tool provide a better understanding of current safety conditions and monitor the effect of policy interventions. New insights can be gained in case one road safety index is composed of all risk indicators. The safety performance can be evaluated, and actions can be prioritized by the assigned weights. In this paper, a composite structure of neural networks is proposed to develop an overall road safety index. By means of simulation, optimal weights are assigned to two sets of indicators based on a road safety data set for 21 European countries. The correlation of the weighted index with the number of traffic fatalities is calculated. Evaluation results imply the feasibility of this approach.
Notes: [Shen, Yongjun; Hermans, Elke; Ruan, Da; Wets, Geert; Vanhoof, Koen; Brijs, Tom] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/9248
ISI #: 000262437400170
ISBN: 978-1-4244-2196-1
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2010
Appears in Collections: Research publications

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