An optimisation tool to select gravel roads for dust chemical treatment projects using genetic algorithms

Aleadelat, Waleed; Ksaibati, Khaled; Albatayneh, Omar

doi:10.1080/10298436.2018.1545092

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…The dust from gravel roads also negatively affects the agricultural sector and reduces photosynthetic activity and crop yield ( 69 ). The cost estimate of the environmental damage and the negative impact on human and animal health of the dust from gravel roads was USD 1.510/km/year ( 40 ). Dust also reduces visibility and contributes to road crashes on gravel roads ( 70 ).…”

Section: Gravel Roads and Their Current Maintenance Practicesmentioning

confidence: 99%

“…In the U.S.A., the Wyoming Technology Transfer Center (WYT2C) and the University of Wyoming are researching gravel road maintenance and developing a management system for gravel roads ( 40 ). They have applied objective condition assessment methods in some of their work ( 69 , 75 ).…”

Section: Gravel Roads and Their Current Maintenance Practicesmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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Section: Gravel Roads and Their Current Maintenance Practicesmentioning

confidence: 99%

Section: Gravel Roads and Their Current Maintenance Practicesmentioning

confidence: 99%

Section: The Future Of Gravel Road Maintenancementioning

confidence: 99%

See 1 more Smart Citation

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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“…Previous WYT2/LTAP efforts have led to the development of various promising methodologies for enhancing GRMSs. For example, an optimization tool for selecting gravel roads for dust chemical treatment projects was developed using JavaScript and hypertext markup languages (HTML) ( 2 ). This tool is intended to enhance the process of allocation of funds from the Congestion and Air Quality (CMAQ) program and consequently to increase the welfare of the local economy.…”

mentioning

confidence: 99%

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

Aleadelat

Albatayneh

Ksaibati

2020

Transportation Research Record: Journal of the Transportation R

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As part of the efforts by Wyoming Technology Transfer Center (WYT2/LTAP) to develop a gravel roads management system (GRMS) in Wyoming, this research study developed a user-friendly tool, using JavaScript, which implements an optimization model based on genetic algorithms (GA). The developed tool will help decision makers and local agencies in managing gravel roads efficiently. Using this tool, a decision maker will be able to identify the most appropriate treatment type for each road, based on service level, estimated project costs, predicted road conditions, and whether to fund a project or not. The optimization model aims to maximize the overall condition of the gravel roads network subject to the average daily traffic (ADT) on each road. The developed tool can be applied to large-scale optimization problems (i.e., gravel roads network). The tool operates with minimal data requirements that are in line with procedures regularly followed at these agencies. In addition to having an engineered outcome, this tool can help local agencies in allocating their limited available funds efficiently, enhancing the planning process, maximizing the social welfare of the local economy, and promoting a sense of general satisfaction within the local community. A case study using data from Laramie County was used to validate this tool. The initial results were promising and in line with previous efforts to manage gravel roads in Wyoming.

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Image Retraining Using TensorFlow Implementation of the Pretrained Inception-v3 Model for Evaluating Gravel Road Dust

Albatayneh

Forslof²,

Ksaibati

2020

J. Infrastruct. Syst.

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An optimisation tool to select gravel roads for dust chemical treatment projects using genetic algorithms

Cited by 4 publications

References 26 publications

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

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

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

Image Retraining Using TensorFlow Implementation of the Pretrained Inception-v3 Model for Evaluating Gravel Road Dust

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