Welcome to Francis Academic Press

Academic Journal of Engineering and Technology Science, 2020, 3(4); doi: 10.25236/AJETS.2020.030404.

Research on the Allocation of Parking Resources under A-CDM Mechanism

Author(s)

Liu Chang1, *, Xiaoze Shen2 and Enxi Fan3

Corresponding Author:
Liu Chang
Affiliation(s)

1 College of Air Transport, Shanghai University of Engineering Science, Shanghai 201600, China
2 School of Machine Engineering,Taiyuan University of Science and Technology, Shanxi 030024, China
3 College of Safety Engineering,Shenyang Aerospace University, Shenyang 110000,  China
*Corresponding author e-mail: [email protected]

Abstract

As the initial node of air transport, airport includes air traffic control, airport companies, airlines and other aviation operation support departments. The orderly combination of these departments constitutes the airport terminal operation system. With the gradual development of China's civil aviation industry, the aviation management system has been overwhelmed. The allocation of appropriate flights on the stand has a very important impact on both airlines and airports. Therefore, airport terminal operation unit of the system need to coordinate and cooperate with each other, such as air traffic control departments to integrate the airport run within the range of information and release to all aviation users, certainly can effectively improve the level of the entire airport security, efficiency and service quality, to improve the probability of a normal flight departure, reduce delays general economic costs. In order to solve the parking space allocation problem, a static parking space allocation model was established with the minimum travel distance of passengers as the optimization target, and the genetic algorithm was used to solve the optimization problem.

Keywords

A-CDM, airport gate assignment, minimum the total passengers walking distance, tabu search algorithm

Cite This Paper

Liu Chang, Xiaoze Shen and Enxi Fan. Research on the Allocation of Parking Resources under A-CDM Mechanism. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 4: 28-36. https://doi.org/10.25236/AJETS.2020.030404.

References

[1] Mangoubi R S, Mathaisel D F X. 0ptimizing gate assignments at airport terminals [J]. Transportation Science, 1985, 19 (2): 173-188.
[2] Yu Cheng. A rule_based reactive modelfor the simulation of aircraft on airport gates [J]. Knowledge Based Systems, 1998, 10: 225-236.
[3] Yu Gu, Christopher A. Genetic algorithm approach to aircraft gate reassignment problem [J]. Journal of Transportation Engineering, 2000, 125 (5): 384- 389.
[4] Xu Jiefeng, Ba订ey G. The airport gate assignment problem: athematical model and a tabu search algorithm [c] // Proceedings of the 34th Hawaii International Conference on SyStem Scjences. Hawaii: IEEE, 2001: 102-111.
[5] Ding H, Lim A, Rodrigues B, et a1. New heuristics for the over—constrained airport gate assignment problem [J]. Joumal of the 0perational Research society, 2004, 55: 760-768.
[6] Yan Shangyao, Tang Chinghui. A heuristic approach for airport gate assignments for stochastic flight delays [J]. European Journal of Operational Research, 2007, 180 (2): 547—567.
[7] Tang chinghui. Real-time gate assignments under temporary gate shortages and stochastic flight delays [c] // IEEE International Conference on service 0perations, Logistics and Informatics. Chicago: IEEE, 2009: 267—271.
[8] Xiong Jie, Zhang Chen. Airport gate assignment with airplane taxiing cost analysis [J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 10 (3): 166—170.
[9] Tang Chinghui, Ya shangyao, Hou Yuzhou. A dynamic algorithm for gate assignments under varied flight delay information [C] //2010 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT). Chengdu: IEEE, 2011: 209—213.
[10] International Civil Aviation Organization (ICAO). DOC9971AN / 485 Collaborative Air Traffic Flow Management Manual [Z]. 2012: 1-12.
[11] Zhou Qin, Zhang Xuejun, Zhang Jun. Fairness and Effective Management of Airport Flow Management Model [J]. China Science and Technology Information, 2005 (4): 126-128.
[12] Ma Zhengping, Cui Deguang. Air Traffic Strategic and Tactical Level Flow Management Model [J]. Journal of Qinghua University, 2003, 43 (7): 903-907.
[13] Yah S Y, Huo C M, Optin6zation of multiple objective gate assignment.  Transportation Research Part A, 2001: 35 (5): 413—432.
[14] Yah S, Tang C. A heuristic approach for airport gate assignments for stochastic flight delays. European Journal of Operational ReseaI℃b. 2007; 180 (2): 547 567.
[15] Zhu S Q, Zhu J F.  Research on gate Reassignment problems in large airports.  Nanjing: Journal of Nanjing University of Aeronautics & Astronautics. 2007.
[16] Wei Dongxuan, Liu Changyou. Study on Airport Stand Allocation. Transportation Systems Engineering and Information, 2009; 7 (1): 57-69.
[17] Yang Wendong, Zhu Jinfu, Xu li. Study on Airport Stand Assignment Based on Flight Link Tree. Journal of Shandong university (Engineering Science Edition), 2010; 40 (2): 153, 158.
[18] Feng Cheng, Hu Minghua, Zhao Zheng. A New Parking Space Allocation Optimization Model is proposed. Transportation System Engineering and Information, 2012; 12 (1): 131 138.
[19] Cheng Y.  A rule—based reactive nmdel for the sinmlation of aircraft on airport gates. Knowledge—based Systems, 1998; 10 (4): 225 236
[20] Yan S, Shieh C, Chen M. A sinmlation framework for evaluating airport.  Transportation Research Part A, 2002; 36 (10): 885 898
[21] Ulrich Dorndorf, Lin Chen, Ma Hui. Disruption management in flight gate scheduling [J]. Statistica Neerlandica,2007, 61 (1): 92-114.
[22] Henz M, Yap RHC, Lim Y F. Solving hierarchical constraints over finite domains with local search [J]. Annals of Mathematics and Artificial Intelligence MAR, 2004, 40 (3-4): 283-301.
[23] Lim A, Rodrigues B, Zhu Y. Airport gate scheduling with time windows [J]. Artificial Intelligence Review, 2005, 24: 5-31.
[24] Marin A G. Airport management: Taxi planning [J]. Annals of Operations Research, 2006, 143 (1): 191-202.
[25] Ju Y B, Wang A H, Zhao Y M. Simulation research on the runway of an airport [J]. Transportion Research, 2006, 32: 446-450.