Abstract
In order to optimize aircraft pushback management during rush hour, aircraft pushback slot allocation based on congestion pricing is explored while considering monetary compensation based on the quality of the surface operations. First, the concept of the “external cost of surface congestion” is proposed, and a quantitative study on the external cost is performed. Then, an aircraft pushback slot allocation model for minimizing the total surface cost is established. An improved discrete differential evolution algorithm is also designed. Finally, a simulation is performed on Xinzheng International Airport using the proposed model. By comparing the pushback slot control strategy based on congestion pricing with other strategies, the advantages of the proposed model and algorithm are highlighted. In addition to reducing delays and optimizing the delay distribution, the model and algorithm are better suited for use for actual aircraft pushback management during rush hour. Further, it is also observed they do not result in significant increases in the surface cost. These results confirm the effectiveness and suitability of the proposed model and algorithm.
Highlights
Congestion and delays are problems that occur routinely at domestic and international airports and reduce the operational efficiency and result in huge losses to the airlines
With the aim of ensuring the lowest cost, an aircraft pushback slot allocation model based on congestion pricing was proposed, and an improved discrete differential evolution (DDE) algorithm for the aircraft pushback slot allocation model was designed
The cost of slot control based on congestion pricing increased to 544 CNY, it was still much lower than that of grandfather rights
Summary
Citation: Liu L, Zhang Y, Liu L, Xing Z (2017) Congestion Pricing for Aircraft Pushback Slot Allocation. PLoS ONE 12(1): e0170553. doi:10.1371/journal.pone.0170553 Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Funding: This work was supported by the National Natural Science Foundation of China (Grant Nos. U1233124 and 61179069). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist.
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