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A platform for research: civil engineering, architecture and urbanism
Cost-Optimized Approach for Pavement Maintenance Planning of Low Volume Rural Roads: A Case Study in Himalayan Region
https://orcid.org/http://orcid.org/0000-0002-0900-9007
Maintenance planning of low volume rural road network is a challenging task due to its large length and importance to the concerned habitation. The proposed methodology is focused on developing a cost-effective maintenance plan for low volume rural Himalayan hill roads by considering the predominant distresses and factors. Maximizing overall network pavement condition rating while minimizing the budget is taken as the objective function in the optimization problem. The maintenance plan is optimized using Knapsack modified Genetic Algorithm technique developed in MATLAB. Validation of the proposed model was done by applying it to a case study of 42 low volume rural hill roads of Hamirpur district of Himachal Pradesh state in India, located in the Himalayan region. Knapsack modified GA makes maintenance planning easier by considering different scenarios of budgetary limitations varying from 0 to 100% of total need. The present model can be very helpful for pavement maintenance planners in developing an optimized cost-effective maintenance program in developing countries where budget limitation is a big concern.
Cost-Optimized Approach for Pavement Maintenance Planning of Low Volume Rural Roads: A Case Study in Himalayan Region
https://orcid.org/http://orcid.org/0000-0002-0900-9007
Maintenance planning of low volume rural road network is a challenging task due to its large length and importance to the concerned habitation. The proposed methodology is focused on developing a cost-effective maintenance plan for low volume rural Himalayan hill roads by considering the predominant distresses and factors. Maximizing overall network pavement condition rating while minimizing the budget is taken as the objective function in the optimization problem. The maintenance plan is optimized using Knapsack modified Genetic Algorithm technique developed in MATLAB. Validation of the proposed model was done by applying it to a case study of 42 low volume rural hill roads of Hamirpur district of Himachal Pradesh state in India, located in the Himalayan region. Knapsack modified GA makes maintenance planning easier by considering different scenarios of budgetary limitations varying from 0 to 100% of total need. The present model can be very helpful for pavement maintenance planners in developing an optimized cost-effective maintenance program in developing countries where budget limitation is a big concern.
Cost-Optimized Approach for Pavement Maintenance Planning of Low Volume Rural Roads: A Case Study in Himalayan Region
https://orcid.org/http://orcid.org/0000-0002-0900-9007
Maintenance planning of low volume rural road network is a challenging task due to its large length and importance to the concerned habitation. The proposed methodology is focused on developing a cost-effective maintenance plan for low volume rural Himalayan hill roads by considering the predominant distresses and factors. Maximizing overall network pavement condition rating while minimizing the budget is taken as the objective function in the optimization problem. The maintenance plan is optimized using Knapsack modified Genetic Algorithm technique developed in MATLAB. Validation of the proposed model was done by applying it to a case study of 42 low volume rural hill roads of Hamirpur district of Himachal Pradesh state in India, located in the Himalayan region. Knapsack modified GA makes maintenance planning easier by considering different scenarios of budgetary limitations varying from 0 to 100% of total need. The present model can be very helpful for pavement maintenance planners in developing an optimized cost-effective maintenance program in developing countries where budget limitation is a big concern.
Cost-Optimized Approach for Pavement Maintenance Planning of Low Volume Rural Roads: A Case Study in Himalayan Region
Int. J. Pavement Res. Technol.
Nautiyal, Akhilesh (author) / Sharma, Sunil (author)
International Journal of Pavement Research and Technology ; 17 ; 335-352
2024-03-01
18 pages
Article (Journal)
Electronic Resource
English
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