Development of a Composite Road Safety Performance Indicator based on Neural Networks

摘要：

Road safety performance indicators as acomprehensible tool provide a better understanding ofcurrent safety conditions and monitor the effect ofpolicy interventions.New insights can be gained incase one road safety index is composed of all riskindicators.The safety performance can be evaluated,and actions can be prioritized by the assigned weights.In this paper,a composite structure of neural networksis proposed to develop an overall road safety index.Bymeans of simulation,optimal weights are assigned totwo sets of indicators based on a road safety data setfor 21 European countries.The correlation of theweighted index with the number of traffic fatalities iscalculated Evaluation results imply the feasibility ofthis approach.

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

作者单位: Transportation Research Institute-Hasselt University Wetenschapspark I bus 12,3590 Diepenbeek,Belgiu Belgian Nuclear Research Centre(SCK·CEN)Boeretang 200,2400 Mol,Belgium Transportation Research Insti

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 901-906

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）