A Network Level Pavement Maintenance Optimisation Approach Deploying GAMS
Autor: | Amirthalingam Veeraragavan, Samson Mathew, V. U. Rejani, V. Sunitha |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | International Journal of Pavement Research and Technology. 15:863-875 |
ISSN: | 1997-1400 1996-6814 |
DOI: | 10.1007/s42947-021-00058-6 |
Popis: | Pavement Management Systems (PMS) can benefit the highway agencies in several ways both at network and project levels, especially in selecting cost-effective alternatives. Whether it is new construction, maintenance, or rehabilitation, PMS helps the authorities attain the best possible utilisation of available resources and public money. This investigative paper proposes a network level PMS for the roads of Tiruchirappalli city, India. Data pertaining to inventory, traffic, maintenance history, and serviceability of the study roads are gathered at regular intervals for a period of 7 years. The pavement sections are grouped into homogeneous clusters by k-means clustering, and Multiple Linear Regression Models are developed for the clusters to predict pavement performance. Based on the pavement condition, different maintenance treatments are identified through expert opinion surveys. An optimisation programme UPMMS-GAMS is developed using Generic Algebraic Modelling System (GAMS) software, to consolidate the city's PMS. Pavement condition, age, maintenance options, and maintenance cost are given as model inputs. Minimum performance levels and the maximum number of maintenance activities are constraints that must be guaranteed. The optimisation programme defines the maintenance and rehabilitation strategies to be employed each year to maintain the pavement sections above a minimum desired level. |
Databáze: | OpenAIRE |
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