Introducing a modified gradient vector method for optimization of accident prediction non-linear fun

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Introducing a modified gradient vector method for optimization of accident prediction non-linear functions

Shahriar Afandizadeh, Mahmud Ameri, Mohammad Hassan Mirabi Moghaddam ⇑
Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

 

a b s t r a c t
In this paper, a new optimization method has been proposed for accident prediction nonlinear
models. This has been achieved by eliminating the Hessian matrix from the equation
of optimal pace length in the gradient vector method. One advantage is that it is independent
of the starting point in optimization processes and it provides convergence at the
highest top as well. This method has been tested on an accident prediction model and
its preference over the gradient vector method has been proven.
2011 Elsevier Inc. All rights reserved.

Keywords:
Accident prediction model
Optimization
Gradient vector
Convergence
Optimal pace length
Hessian matrix

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