A reliability-basedmethod for optimizing airport collection and distribution network

摘要

In this article, a reliability-based method for optimizing the road network is presented. A bi-leveloptimization model for the road network, of which the lower model is the optimal user equilibriumof the road impedance function and the upper model is the maximum reliability of thenetwork, is constructed and solved by using the genetic algorithm. Moreover, a model for measuringthe travel time reliability of the airport collection and distribution network is built basedon the improved Bureau of Public Roads (BPR) function, and the reliability of this road network isquantified. Results of our case study show that the mean travel time reliability of all roads in thecollection and distribution network of Nanjing Lukou Airport is 0.74, showing a good status onthe whole level compared with other roads. The mean travel time reliability of the roads near theairport 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 collectionand distribution network reliability. After optimized by using the bi-level model, the reliability ofthe road network is increased by about 11%, showing a good optimization effect. However, theoptimization process of genetic algorithm is greatly affected by both crossover rate and mutationrate. A higher mutation rate or lower crossover rate will decrease the stability of optimizationprocess. This method can be used as a theoretical reference for optimizing airport collection anddistribution networks and improving the efficiency of airport's external transportation service.