Vehicle Safety Analysis based on a Hybrid Approach Integrating DEMATEL, ANP and ER

2018 ◽  
Vol 22 (11) ◽  
pp. 4580-4592 ◽  
Author(s):  
S. R. Seyedalizadeh Ganji ◽  
Amir Abbas Rassafi ◽  
Ali Abdi Kordani
Keyword(s):  
Hybrid Approach ◽  
Safety Analysis ◽  
Vehicle Safety

Vehicle safety analysis at non-signalised intersections at different penetration rates of collision warning systems

2020 ◽  
Vol 14 (13) ◽  
pp. 1759-1768
Author(s):  
Yicong Liu ◽  
Jianqiang Wang ◽  
Chaoyi Chen ◽  
Qing Xu ◽  
Lingxi Li
Keyword(s):  
Safety Analysis ◽  
Vehicle Safety ◽  
Warning Systems ◽  
Collision Warning ◽  
Collision Warning Systems

A HYBRID APPROACH FOR SAFETY ANALYSIS OF AIRCRAFT SYSTEMS

2006 ◽  
Vol 39 (5) ◽  
pp. 389-394
Author(s):  
E. Villani ◽  
P.E. Miyagi
Keyword(s):  
Hybrid Approach ◽  
Safety Analysis ◽  
Aircraft Systems

A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis

2001 ◽  
Author(s):  
Lei Gu
Keyword(s):  
Finite Element ◽  
Regression Models ◽  
Subset Selection ◽  
Safety Analysis ◽  
Quadratic Polynomial ◽  
Side Impact ◽  
Vehicle Safety ◽  
Linear Polynomial ◽  
Design Variables ◽  
Highly Nonlinear

Abstract Vehicle crash is a highly nonlinear event in terms of the structural and dummy responses. However, Linear and quadratic polynomials regression are still widely used in the design optimization and reliability based optimization of vehicle safety analysis. This paper investigates the polynomial based subset selection regression models for vehicle safety analysis. Three subset selection techniques: all possible subset with linear polynomial, stepwise with quadratic polynomial and sequential replacement with quadratic and cubic polynomials, are discussed. The methods have been applied to data from finite element simulations of vehicle full frontal crash, side impact and frontal offset impact. It is shown subset selection with sequential replacement algorithm gives the best accuracy responses. It is also shown from limited finite element simulation data, the quadratic polynomial is good enough for most structural and dummy responses when gauges and materials are used as design variables. For vehicle weight, linear polynomial fits well.

Development of a Prototype Safety Analysis System to Assess and Forecast Vehicle Safety

2006 ◽  
Author(s):  
Hideki Suzuki ◽  
Yoichi Sugimoto ◽  
R. Michael Van Auken ◽  
John W. Zellner
Keyword(s):  
Safety Analysis ◽  
Vehicle Safety ◽  
Analysis System
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