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A reliability‐based method for optimizing airport collection and distribution network

In this article, a reliability‐based method for optimizing the road network is presented. A bi‐level optimization model for the road network, of which the lower model is the optimal user equilibrium of the road impedance function and the upper model is the maximum reliability of the network, is constructed and solved by using the genetic algorithm. Moreover, a model for measuring the travel time reliability of the airport collection and distribution network is built based on the improved Bureau of Public Roads (BPR) function, and the reliability of this road network is quantified. Results of our case study show that the mean travel time reliability of all roads in the collection and distribution network of Nanjing Lukou Airport is 0.74, showing a good status on the whole level compared with other roads. The mean travel time reliability of the roads near the airport is higher by 25% or so, indicating that the reliability distribution is significantly uneven. It is proved that this method has higher accuracy and is applicable to calculate airport collection and distribution network reliability. After optimized by using the bi‐level model, the reliability of the road network is increased by about 11%, showing a good optimization effect. However, the optimization process of genetic algorithm is greatly affected by both crossover rate and mutation rate. A higher mutation rate or lower crossover rate will decrease the stability of optimization process. This method can be used as a theoretical reference for optimizing airport collection and distribution networks and improving the efficiency of airport's external transportation service.