References
[1] Gomez Comendador VF, Arnaldo Valdés RM, Sanchez Cidoncha M. Impact of trajectories’ uncertainty in existing ATC complexity methodologies and metrics for DAC and FCA SESAR concepts. Energies. 2019;12(8):1-25. DOI: 10.3390/en12081559.
[2] Hao SQ, Cheng SW, Zhang YP. A multi-aircraft conflict detection and resolution method for 4-dimensional trajectory-based operation. Chinese Journal of Aeronautics. 2018;7(148):177-191. DOI: 10.1016/j.cja.2018.04.017.
[3] Jacquemart D, Morio J. Adaptive interacting particle system algorithm for aircraft conflict probability estimation. Aerospace Science & Technology. 2016;7(55):431-438. DOI: 10.1016/j.ast.2016.05.027.
[4] Han D, et al. A conflict detection algorithm for low-altitude flights based on SVM. Journal of Beijing University of Aeronautics and Astronautics. 2018;3(44):576-582. DOI: 10.13700/j.bh.1001-5965.2017.0159.
[5] Wu MG, Wang ZK, Wen XX. Aircraft conflict resolution model based on geometric optimization. Systems Engineering and Electronics. 2019;41(4):863-869. DOI: 10.3969/j.issn.1001-506X.2019.04.23.
[6] Sun MH, Rand K, Fleming C. 4 Dimensional waypoint generation for conflict-free trajectory based operation. Aerospace Science and Technology. 2019;88:350-361. DOI: 10.1016/j.ast.2019.03.035.
[7] Guan X, et al. A strategic flight conflict avoidance approach based on a memetic algorithm. Chinese Journal of Aeronautics. 2014;1(27):863-869. DOI: 10.1016/j.cja.2013.12.002.
[8] Hernandez-Romero E, Valenzuela A, Rivas D. A probabilistic approach to measure aircraft conflict severity considering wind forecast uncertainty. Aerospace Science and Technology. 2019;86:401-414. DOI: 10.1016/j.ast.2019.01.024.
[9] Russell AP, Heinz E. Conflict probability estimation generalized to non-level flight. Journal of Guidance, Control, and Dynamics. 1997;3(7):588-596. DOI: 10.2514/atcq.7.3.195.
[10] Lambert A, Gruyer D, Pierre GS. A fast monte carloalgorythm for collision probability estimation. International Conference on Control, 17-20 Dec. 2008, San Antonio, USA. 2014. p. 406-411. DOI: 10.1109/ICARCV.2008.4795553.
[11] Liu Y, et al. Short-term conflict detection algorithm for free flight in low-altitude airspace. Journal of Beijing University of Aeronautics and Astronautics. 2017;43(9):1873-1881. DOI: 10.13700/ j.bh.1001-5965.2016.0687.
[12] Alizadeh A, Uzun M, Koyuncu E. Optimal en-route trajectory planning based on wind information. IFC. 2018;51(9):180-185. DOI: 10.1016/j.ifacol.2018.07.030.
[13] Lucas BM, Vitor FR, Cristiano PG. 4D trajectory conflict detection and resolution using decision tree pruning method. IEEE Latin America Transactions. 2023;21(2):277-287. DOI: 10.1109/TLA.2023.10015220.
[14] Liu ZA, Xiao G, Mao JZ. A framework for strategic online en-route operations: Integrating traffic flow and strategic conflict managements. Transportation Research Part C. 2023;147:103996. DOI: 10.1016/j.trc.2022.103996.
[15] Zhang JF, Jiang HX, Wu XG. 4D trajectory prediction based on BADA and aircraft intent. Journal of Southwest Jiaotong University. 2014;49(3):1873-1881. DOI: 10.3969/j.issn.0258-2724. 2014.03.028.
[16] Vito VD, Torrano G. Fast-time numerical validation of an ADS-B based automatic separation assurance and collision avoidance system. Integrated Communications Navigation and Surveillance Conference (ICNS), 20-22 Apr, Dulles, USA. 2021.
[17] Ni YD, Liu P, Ma SY. An improved trajectory prediction algorithm based on ADS-B intent information. Telecommunication Engineering. 2014;43(9). DOI: 10.3969/j.issn.1001-893x. 2014.02.008.
[18] Zhang K, et al. Bayesian trajectory prediction for a hypersonic gliding geentry vehicle based on intent inference. Journal of Astronautics. 2018;39(11):1258-1265. DOI: 10.3873/j.issn.1000-1328.2018.11.008.
[19] Hao SQ, Zhang YP, Cheng SW. Probabilistic multi-aircraft conflict detection approach for trajectory based operation. Transportation Research: Part C. 2018;95(0):698-712. DOI: 10.1016/j.trc.2018.08.010.
[20] Shi L, Wu RB, Huang XX. Conflict detection algorithm based on overall conflict probability and three-dimensional brownian motion. Journal of Electronics & Information Technology. 2015;37(2):360-366. DOI: 10.11999/JEIT140363.
[21] Song Y, Miller HJ. Simulating visit probability distributions within planar space-time prisms. International Journal of Geographical Information Science. 2014;28(1):104-125. DOI: 10.1080/13658816.2013.830308.
[22] Chen YT, et al. Autonomous trajectory planning and conflict management technology in restricted airspace. Acta Aeronautica et Astronautica Sinica. 2020;41(9):324045. DOI: 10.7527/S1000-6893.2020.24045.
[23] Shiri H, Park J, Bennis M. Remote UAV online path planning via neural network based opportunistic control. IEEE Wireless Communication Letters. 2020;9(6):861-865. DOI: 10.1109/ LWC.2020.2973624.
[24] Meng G, Fei Q. Flight conflict resolution for civil aviation based on ant colony optimization. 6th International Symposium on Computational Intelligence & Design, 28-29 Oct, Hangzhou, China. 2012.
[25] Gao Y, Zhang XJ, Guan XM. Cooperative multi-aircraft conflict resolution based on co-evolution. International Symposium on Instrumentation & Measurement, 25-28 Aug, Sanya, China. 2012.
[26] Shao SK, Yu P, He CL. Efficient path planning for UAV formation via comprehensively improved particle swarm optimization. ISA Transactions. 2020;97:415-430. DOI: 10.1016/j.isatra. 2019.08.018.
[27] Omer J, Farges JL. Hybridization of nonlinear and mixed-integer linear programming for aircraft separation with trajectory recovery. IEEE Transactions on Intelligent Transportation Systems. 2013;14(3):1218-1230.
[28] Dias F, Hijazi H, Rey D. Disjunctive linear separation conditions and mixed-integer formulations for aircraft conflict resolution. European Journal of Operational Research. 2022;296:520-538. DOI: 10.1016/j.ejor.2021.03.059.
[29] Matsuno Y, et al. Stochastic optimal control for aircraft conflict resolution under wind uncertainty. ISA Transactions. 2015;43:77-88. DOI: 10.1016/j.ast.2015.02.018.
[30] Emami H, Derakhshan F. Multi-agent based solution for free flight conflict detection and resolution using particle swarm optimization algorithm. UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science. 2014;3(76):49-64.
[31] Lu XL, He G. QPSO algorithm based on Lévy flight and its application in fuzzy portfolio. Applied Soft Computing. 2021;1(99):106894. DOI: 10.1016/j.asoc.2020.106894.
[32] Lauderdale TA, et al. Separation at crossing waypoints under wind uncertainty in urban air mobility. AIAA Aviation 2021 Forum, 02 Aug, Hangzhou, China. 2021. DOI: 10.2514/6.2021-2351.
[33] Yu H. A direction-constrained space-time prism-based approach for quantifying possible multi-ship collision risks. IEEE Transactions on Intelligent Transportation Systems. 2019;1(22):131-141. DOI: 10.1109/TITS.2019.2955048.
[34] Malaek SM, Golachoubian M. Enhanced conflict resolution manoeuvres for dense airspaces. IEEE Transactions on Aerospace and Electronic Systems. 2019;5(56):131-141. DOI: 10.1109/TAES. 2020.2972422.
[35] Han S. Industrial robot trajectory planning based on improved PSO algorithm. Journal of Physics Conference Series. 2021;1(1820):012185. DOI: 10.1088/1742-6596/1820/1/012185.
[36] Wu GC. Research on path planning based on particles warm optimization. PhD thesis. Yanshan University; 2016.