Development of a composite road safety performance indicator based on neural networks

Yongjun Shen, Elke Hermans, Da Ruan, Geert Wets, Koen Vanhoof, Tom Brijs

    Research outputpeer-review

    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.

    Original languageEnglish
    Title of host publicationProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
    PublisherIEEE - Institute of Electrical and Electronics Engineers
    Pages901-906
    Number of pages6
    ISBN (Print)9781424421978
    DOIs
    StatePublished - 2008
    EventProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008 - Xiamen
    Duration: 17 Nov 200819 Nov 2008

    Publication series

    NameProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

    Conference

    ConferenceProceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008
    Country/TerritoryChina
    CityXiamen
    Period2008-11-172008-11-19

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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