TIS condition monitoring using ANN integration: an overview
Journal of Engineering, Design and Technology
ISSN: 1726-0531
Article publication date: 11 December 2018
Issue publication date: 8 February 2019
Abstract
Purpose
The purpose of this paper is to provide an overview of condition monitoring using artificial neural network (ANN) integration as a part of transportation infrastructure systems.
Design/methodology/approach
This paper will review the concept of ANNs and its core functions for the optimization (to manage the asset in such a way that the condition does not fall below an acceptable minimum condition) of transportation infrastructure systems, in particular, the maintenance processes. In doing so, a specific and factual example of performance and condition measurement for roads will be also instigated.
Findings
This paper demonstrated that ANN has many advantages if the problems cannot be solved by the clear algorithm. In addition, ANN has the ability to be instructed to handle large data set. There are various intelligent algorithms available and accordingly ANN is not a new concept. However, the ANN’s overall ability to solve complex and interchangeable system problems (such as one, which is found within the transportation infrastructure systems) is its core advantage.
Originality/value
Although condition monitoring using ANN integration has been researched extensively, this paper provides additional example of integrated ANN for transportation infrastructure systems.
Keywords
Citation
Gharehbaghi, K. and McManus, K. (2019), "TIS condition monitoring using ANN integration: an overview", Journal of Engineering, Design and Technology, Vol. 17 No. 1, pp. 204-217. https://doi.org/10.1108/JEDT-07-2018-0117
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited