Decision Support System for the Maintenance Management of Road Network Considering Multi-Criteria
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Chinese Society of Pavement Engineering
International Journal of Pavement Research and Technology Journal homepage: www.springer.com/42947
Decision Support System for the Maintenance Management of Road Network Considering Multi-Criteria Sakthivelan Ramachandran*, Chandrasekharan Rajendran, Veeraragavan Amirthalingam Department of Civil Engineering, Indian Institute Of Technology Madras, Chennai, India Received 14 May 2019; received in revised form 6 June 2019; accepted 10 June 2019
Abstract Maintenance management of a large road network with limited resources is a challenging task in developing countries like Indi a. Road agencies expect that the condition of their road infrastructure should always above the desired level of performance even under restricted resources. This requires an integrate d decision support system considering all aspects of maintenance. In this paper, a framework for optimal maintenance decisions by multi-objective approach is formulated for a road network by considering functional condition of the pavement quantified in terms of roughness and str uctural condition quantified in terms of rebound deflection. A multiobjective optimization model is developed using Integer Linear Programming (ILP). A novel approach to track the age of pavement is applied in the formulation of the mathematical model. The ε-constraint method is adopted to generate non-dominated solutions. Budget bound optimizing model is formulated and implemented for a typical road network of four roads and optimal maintenance scheduling is arrived. Keywords: Road network; Deterioration; Multi-objective optimization; Optimal maintenance decision; Integer linear programming; Non-dominated solutions.
1. Introduction India has the second largest road network in the world, spanning a total of over 5.4 million km [1]. According to the Ministry of Road Transport and Highways [2], Government of India, the length of National highways and Expressways in India is 100,475 km, carrying more than 40% of the total traffic. The volume of traffic is increasing at a fast rate of 10.16% per annum. About US$ 745 million is spent annually for the maintenance of the National Highways network in the country. Managing a large transportation network with limited resources is a challenging task. The decision makers have to estimate the optimal budget needed for the preservation and maintenance management of the existing highway networks vis-à-vis construction of new highways/additional lanes to augment the capacity of the existing highways to cope up with the demand. Such decisions always consider a number of criteria such as options for different maintenance strategies, choice of materials and techniques, traffic volume, load spectrum and composition, desired performance level, timing of the maintenance, etc. Hence, the need for the * Corresponding author E-mail addresses: [email protected] (Sakthivelan Ramachandran); [email protected] (Chandrasekharan Rajendran); [email protected] (Veeraragavan A). Peer review under responsibility of Chine
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