Pavement maintenance planning of large-scale transportation networks considering energy consumption

Document Type : Research Article


1 Transportation group, Civil dept, AUT

2 Transportation Engineering, Department of Civil Engineering, Amirkabir University of Technology, Tehran, Iran

3 Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.


Maintenance and rehabilitation scheduling optimization are some of the most critical parts of the pavement management system. Pavement agencies usually face large-scale pavement networks. The complexity of network management is exponentially increased in the circumstances that the dimension of the network is extended. Hence, meta-heuristic algorithms and decomposition techniques are usually applied to solve these problems. In this investigation, energy consumption optimization is taken into account as an essential environmental criterion. Furthermore, a recently developed meta-heuristic algorithm called the Soccer league competition algorithm is utilized to solve the problem. This robust algorithm is inspired by the competitions of players and teams in soccer leagues. A real network containing 84 segments is the case study of this investigation. According to the results, the Soccer league competition algorithm is competent to solve a large-scale network problem in a short time. Moreover, the comparison of different strategies outcomes indicates that considering energy consumption as the second objective function reduces the energy consumption and total cost 13% and 10%, respectively, and increases the average international roughness index by 9%.


Main Subjects

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