The use of intelligent search algorithms in the cost optimization of road pavement thickness design

Tohidi, Mansour; Khayat, Navid; Telvari, Abdoulrasoul

doi:10.1016/j.asej.2021.09.023

Cited by 12 publications

(4 citation statements)

References 14 publications

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“…Based on research results, 11 types of road damage occur on the Surabaya-Gresik toll road, including alligator cracking, bleeding, block cracking, corrugation, depression, longitudinal and transversal cracking, patching, polished aggregate, raveling and weathering, shoving, and potholes. [25]The most frequent damage is alligator cracking, with a percentage of 72.27%, and the least frequent damage is potholes, with a rate of 0,04%. Table 3 lists the road damage and the percentage of road damage on the Surabaya-Gresik toll road.…”

Section: B Damage and Percentage Of Road Damagementioning

confidence: 99%

Analysis of Road Damage Level Using the Pavement Condition Index (PCI) Method on the Surabaya-Gresik Toll Road, East Java

Suharso,

Andaryati

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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The Surabaya–Gresik toll road is a crucial infrastructure connecting Surabaya City with Gresik Regency. In industrial areas such as Gresik Regency, this toll road is indeed needed to expedite the flow of industrial goods distribution to Surabaya City. The toll road experiences frequent damage, such as alligator cracking, as it is traversed daily by heavy traffic. If the road, as a connecting infrastructure, is damaged, it will impede the flow of vehicles passing through it. Therefore, road maintenance is necessary to ensure optimal service for passing vehicles. In this research, an analysis of road damage on the Surabaya – Gresik toll road seeks solutions for addressing these issues utilizing the method of Pavement Condition Index (PCI). The method involves several stages, including a survey of road conditions, determination of severity levels, assessment of damage, and determination of pavement condition. The survey was conducted in 100-meter segments from KM 10 to KM 14, revealing various types of damage on the toll road, including alligator cracking, bleeding, corrugation, shoving, potholes, and more. Thereafter, an analysis of the severity level and damage assessment was carried out, resulting in an average PCI value of 68, categorized as a "Good" condition. Based on these findings, it is recommended to address this issue through routine maintenance, including repairing minor damage, patching potholes, sweeping, repairing pavement edge damage, sidewalk maintenance, side channel and complementary building drainage, road equipment, and roadside maintenance.

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Section: B Damage and Percentage Of Road Damagementioning

confidence: 99%

Analysis of Road Damage Level Using the Pavement Condition Index (PCI) Method on the Surabaya-Gresik Toll Road, East Java

Suharso,

Andaryati

2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…Tohidi et al [97] compared the efficiencies of the genetic algorithm and PSO in the determination of economically-optimum pavement depth. Using algorithms for pavement design, a simulation-optimization model was developed.…”

Section: Flexible Pavement Costmentioning

confidence: 99%

Artificial Neural Networks for Flexible Pavement

et al. 2023

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Transportation agencies are primarily responsible for building new roads and maintaining current roads. The main focuses of these agencies are to prioritize maintenance and make significant rehabilitation decisions to handle serious problems facing road authorities. Considerable efforts and an abundance of studies have been performed to determine the nature, mechanisms, test methods, and measurement of pavements for preservation and improvements of roadways. The presented study reports a state-of-the-art review on recent advances in the application of artificial intelligence in various steps of flexible pavement, including pavement construction, performance, cost, and maintenance. Herein, the challenges of gathering large amounts of data, parameter optimization, portability, and low-cost data annotating are discussed. According to the findings, it is suggested that greater attention should be paid to integrating multidisciplinary roadway engineering techniques to address existing challenges and opportunities in the future.

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“…For instance, the minimization of the production costs or of the environmental impact of products or processes, accordingly to a life-cycle assessment analysis [24] or the search for Nash equilibrium in a multi-player decision game theory model [25]. In engineering applications, the cost optimization of road pavement thickness design [26] or the optimization in pavement rehabilitation and maintenance decisions [27]. All these problems are solved by using GA.…”

Section: Back-calculation Through the Use Of A Gamentioning

confidence: 99%

Using Genetic Algorithms to Improve Airport Pavement Structural Condition Assessment: Code Development and Case Study

Donato

Carfì

2023

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In this paper, we propose a new method of optimization based on genetic algorithms using the MATLAB toolbox “Global Optimization”. The algorithm finds layers moduli of a flexible pavement through the measurement of pavement surface deflections under assigned load conditions. First, the algorithm for the forward calculation is validated, then the algorithm for the back-calculation is proposed, and the results are compared, in the case of airport pavements, with other software using different back-calculation techniques. The goodness of the procedure and the way of managing the algorithm operator is demonstrated by means of positive feedback obtained from the comparison of the results of ELMOD and BackGenetic3D. Moreover, the findings of the analysis prove that, in such an optimization procedure by GA, the best solution is always reached with a low number of generations, generally less than 10, allowing a reduction in the time of calculation and choosing a population big enough to select with good probability, in the initial population, solutions close to the real ones. The code is made available in such a way that the reader can easily apply it to other flexible pavements in the case of fully bonded layers (both for roads and airports). In particular, interested readers can easily modify the algorithm parameters (population number, stop criteria, probability of mutation, cross-over, and reproduction) and the type of fitness function to minimize, together with the geometric and load characteristics (number and thickness of the layers and the range of module variation). The possibility to change the algorithm parameters and the fitness function allows for exploring different scenarios in order to find the best solution in terms of fitness values. It is also possible to intervene in the time of calculation by managing the algorithm’s stopping criteria.

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The use of intelligent search algorithms in the cost optimization of road pavement thickness design

Cited by 12 publications

References 14 publications

Analysis of Road Damage Level Using the Pavement Condition Index (PCI) Method on the Surabaya-Gresik Toll Road, East Java

Analysis of Road Damage Level Using the Pavement Condition Index (PCI) Method on the Surabaya-Gresik Toll Road, East Java

Artificial Neural Networks for Flexible Pavement

Using Genetic Algorithms to Improve Airport Pavement Structural Condition Assessment: Code Development and Case Study

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