Developing an Optimization Tool for Selecting Gravel Roads Maintenance Strategies using a Genetic Algorithm

Aleadelat, Waleed; Albatayneh, Omar; Ksaibati, Khaled

doi:10.1177/0361198120915201

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…The investigation reveals that spatial layout, comfort, functionality, and sustainability can serve as key evaluation indicators. This paper employs a fuzzy evaluation method [7][8] to assess the satisfaction level of high-rise residential building spaces. The set of evaluation factors comprises 14 components, encompassing aspects like spatial layout, comfort, functionality, and sustainability.…”

Section: Space Evaluation Of High-rise Residential Buildingsmentioning

confidence: 99%

Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm

Huang,

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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With the rapid development of urbanization and the continuous growth of population, the design and planning of high-rise residential buildings have become increasingly important. The purpose of this study is to explore the space optimization design method of high-rise residential buildings based on genetic algorithm(GA), focusing on the comparative analysis between traditional GA and Adaptive genetic algorithm(AGA). In this paper, AGA is used to establish the spatial optimization model of high-rise residential buildings. By dynamically adjusting the parameters of the algorithm, AGA makes the algorithm better adapt to the characteristics of the problem and improves the search efficiency. The results show that AGA is superior to traditional GA in global convergence probability, especially when the population size is large. AGA improves the adaptability and robustness of the algorithm by dynamically adjusting the crossover and mutation probability. AGA has better flexibility and adaptability in the design of high-rise residential buildings and is expected to provide more optimized solutions for solving complex design problems. The findings of this study provide a useful reference for innovation and sustainable development in the field of high-rise building design and also provide practical methods and tools for the application of GA.

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Section: Space Evaluation Of High-rise Residential Buildingsmentioning

confidence: 99%

Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm

Huang,

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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“…Shen Y established a hard time window logistics distribution path optimization model under dynamic road networks, with the objective function of minimizing cost, for common urban logistics distribution models in the e-commerce environment [2]. The optimization model designed by Aleadelat W aimed to maximize the overall condition of the gravel road network, keeping the daily average traffic volume of each road unchanged [3]. In long-term analysis, optimizing the maintenance of large road networks is an extremely complex problem.…”

Section: Related Workmentioning

confidence: 99%

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

2024

ieim

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This article proposed a high-precision map based traffic flow optimization model for unmanned mining road networks, aiming to optimize the flow of unmanned vehicles inside the mine through accurate map information and advanced algorithms, reduce traffic congestion, and improve transportation efficiency. By constructing high-precision maps and using graph theory and machine learning algorithms, the road network traffic flow of unmanned mining vehicles was optimized. The four experimental conclusions in the experimental stage indicated that the research model could effectively optimize the traffic flow of unmanned mining vehicles, and improve the efficiency and safety of mining operations. The effectiveness and practicality of the model were comprehensively validated through four experiments during the research phase. In the first road network efficiency evaluation experiment, the average speed of unmanned vehicles increased from 20 km/h to 30 km/h, and the average travel time decreased from 30 minutes to 20 minutes. In the traffic congestion experiment, the research model reduced the congestion relief time from 45 minutes to 25 minutes under high flow conditions of 150 vehicles per hour. In the dynamic route adjustment experiment, when encountering unexpected events, the optimized response time was reduced from 45 minutes for Event 1 to 30 minutes, and from 40 minutes to 25 minutes for Event 2. In the final safety performance evaluation experiment, the optimized accident rate decreased from 0.8 to 0.3; the number of violations decreased from 120 to 40; the number of emergency braking events also decreased from 90 to 30. From the data conclusion, it can be seen that the traffic flow optimization model for unmanned mining vehicles based on high-precision maps has shown significant effects in improving traffic efficiency, reducing congestion, enhancing dynamic route adjustment ability, and enhancing safety, fully verifying its application value in the process of mining automation and intelligence.

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“…Oladele ( 84 ) and Oladele et al ( 85 ) developed gravel loss prediction models to ascertain gravel road performance by establishing maintenance decision thresholds for gravel loss and determining the rate of deterioration for timely maintenance interventions. Several optimization methods have been developed to identify the best maintenance strategies for predicting the condition of gravel roads and enhancing maintenance planning and decision support ( 14 , 39 , 40 , 43 , 55 , 72 , 83 , 91 ).…”

Section: The Future Of Gravel Road Maintenancementioning

confidence: 99%

Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research

Mbiyana

Kans

Campos

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Gravel roads form a significant share of the global road network, usually in sparsely populated rural areas. They are important, especially in agriculture, tourism, and forestry, connecting rural to urban areas. This systematic literature study comprises 105 reviewed publications on gravel road maintenance. Review articles on maintenance management practices, especially concerning objective condition assessment and data-driven methods (DDMs), are lacking. Therefore, this review provides a concise overview of current gravel road maintenance practices and ongoing research on objective condition assessment and DDMs for gravel road maintenance. It offers researchers in gravel road maintenance and other related fields a clear indication of where to focus their research efforts, as it suggests the direction for future research. Visual assessment methods are predominant for monitoring the condition of gravel roads, while objective methods and DDMs are not common. Research on gravel roads and their maintenance has increased in the last two decades, especially in North America and Northern Europe. Condition assessment is shifting from subjective to objective methods, utilizing knowledge from technological advancements in image processing, vibration and acoustics analysis, and so forth. There are some excellent research initiatives for objectively assessing the condition of gravel roads and DDMs, but the practical implementation is limited. Implementing objective assessment methods and DDMs generally improves the management of gravel roads with regard to decision-making, maintenance costs, safety, and the stability and comfort of the ride. Objective condition assessment and DDMs have the potential to enhance maintenance practices in the maintenance of gravel roads.

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Developing an Optimization Tool for Selecting Gravel Roads Maintenance Strategies using a Genetic Algorithm

Cited by 5 publications

References 21 publications

Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm

Research on Space Optimization Design of High-rise Residential Building Based on Genetic Algorithm

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

Literature Review on Gravel Road Maintenance: Current State and Directions for Future Research

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