Optimizing the time of field visits in asphalt pavements by using the roughness index, considering the cost issues

Document Type : Research Paper

Authors

1 Ph.D. Candidate, Department of Civil Engineering, Payame Noor University, Tehran, I. R. Iran.

2 Assistant Professor, Department of Civil Engineering, Payame Noor University, Tehran, I. R. Iran.

Abstract

Considering the exorbitant costs that are paid annually for the repair and improvement of asphalt pavements and also considering the increasing use of heuristic and meta-heuristic algorithms, the main goal of this article is to determine the most appropriate time for field surveys in pavement management by using the genetics algorithm to prevent more expenses and have better planning for pavement maintenance and repair so that the roads always have an acceptable level of service. However, the indexes affecting different costs should also be determined and these costs should be optimized at the same time as determining the best time to conduct the inspection. For this purpose, according to the factors affecting the optimal time of field surveys and with the help of genetic algorithm, the required program was implemented in MATLAB software and tested for different samples from Khuzestan province that the results of which are very impressive and reasonable. According to the obtained results, it can be seen that by using this method and determining the most appropriate time for field survey of a road, it is possible to avoid excessive and irreparable expenses; With the help of this method and having the basic information of the road, it is possible to determine the best time for field survey in order to prevent excessive damage to the road as well as high costs, and while maintaining the service level of the rosd in the desired state, the satisfaction of the users also attracted

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Journal of Transportation Infrastructure Engineering
Volume 9, Issue 3 - Serial Number 35
December 2023
Pages 103-118

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History

  • Receive Date: 07 October 2023
  • Revise Date: 11 November 2023
  • Accept Date: 21 November 2023

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