This paper proposes an integrated approach for joint planning of road maintenance activities and drivers route choices to minimize the overall fuel consumption of network. A generalized travel cost function is developed, considering the impact of pavement roughness on traffic assignment. The problem is formulated as a bi-level mixed-integer non-linear programing model, where the upper level aims to achieve minimal fuel consumption by conducting various maintenance methods on diverse roads and the lower level follows a traditional user equilibrium problem. A piece-wise linear approximation method and Karush–Kuhn–Tucker conditions are utilized to reformulate this problem into an equivalent linear single-level one. The transformed programing is then solved by branch-and-cut algorithm. A numerical case study in Shanghai is conducted to demonstrate the effectiveness of this model and draw implications for road maintenance.
Optimal Maintenance Scheduling for Minimizing the Network Fuel Consumption
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 3094-3105
2018-01-18
Conference paper
Electronic Resource
English
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