[1]

Civil Aviation Administration of China. 2022. 2021 Civil aviation industry development statistics bulletin (in Chinese). www.mot.gov.cn/tongjishuju/minhang/202206/P020220607377281705999.pdf

[2]

Flight Safety Foundation. 2023. 2022 Safety report. Report. https://flightsafety.org/wp-content/uploads/2023/03/FSF-2022-Safety-Report-FINAL.pdf

[3]

The International Air Transport Association. 2022. IATA calls for transition to enhanced ground support equipment (in Chinese). www.iata.org/contentassets/04a51e8c711e4818a8a55ee756ac7045/2022-12-06-04-cn.pdf

[4]

Wang X, Brownlee AEI, Weiszer M, Woodward JR, Mahfouf M, et al. 2021. A chance-constrained programming model for airport ground movement optimisation with taxi time uncertainties. Transportation Research Part C: Emerging Technologies 132:103382

doi: 10.1016/j.trc.2021.103382
[5]

Lian G, Wang Y, Li W, Xu Q, Hao S, et al. 2023. Aircraft taxiing conflict avoidance approach based on Gaussian spatial–temporal prediction. Physica A: Statistical Mechanics and its Applications 624:128915

doi: 10.1016/j.physa.2023.128915
[6]

Shvetsov AV. 2021. Analysis of accidents resulting from the interaction of air and ground vehicles at airports. Transportation research procedia 59:21−28

doi: 10.1016/j.trpro.2021.11.093
[7]

Meng Q, Liu P, Liu Z. 2022. Integrating multimodal transportation research. Multimodal Transportation 1:100001

doi: 10.1016/j.multra.2022.100001
[8]

Shao Y, Shi X, Zhang Y, Shiwakoti N, Xu Y, et al . 2024. Injury severity prediction and exploration of behavior-cause relationships in automotive crashes using natural language processing and extreme gradient boosting. Engineering Applications of Artificial Intelligence 133:108542

doi: 10.1016/j.engappai.2024.108542
[9]

Shao Y, Xu Y, Ye Z, Zhang Y, Chen W, et al. 2025. Understanding the impacts of negative advanced driving assistance system warnings on hazardous materials truck drivers' responses using interpretable machine learning. Engineering Applications of Artificial Intelligence 146:110308

doi: 10.1016/j.engappai.2025.110308
[10]

Wilke S, Majumdar A, Ochieng WY. 2014. Airport surface operations: a holistic framework for operations modeling and risk management. Safety Science 63:18−33

doi: 10.1016/j.ssci.2013.10.015
[11]

Zhu X, Tang Y. 2019. Modeling, scheduling, and conflict control of airport movement area operations under A-SMGCS control. China Civil Aviation Publishing House

[12]

Liu C, Guo K. 2010. Airport taxi scheduling optimization based on genetic algorithm. 2010 International Conference on Computational Intelligence and Security, Nanning, China, 11−14 December 2010. USA: IEEE. pp. 205−8 doi: 10.1109/CIS.2010.50

[13]

Liu Q, Wu T, Luo X. 2011. A space-time network model based on improved genetic algorithm for airport taxiing scheduling problems. Procedia Engineering 15:1082−87

doi: 10.1016/j.proeng.2011.08.200
[14]

Zhou H, Jiang X. 2015. Research on taxiway path optimization based on conflict detection. PLoS One 10:e0134522

doi: 10.1371/journal.pone.0134522
[15]

Ng KKH, Lee CKM, Chan FTS, Qin Y. 2017. Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach. Transportation Research Part E: Logistics and Transportation Review 106:115−36

doi: 10.1016/j.tre.2017.08.006
[16]

Deng W, Zhang L, Zhou X, Zhou Y, Sun Y, et al. 2022. Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem. Information Sciences 612:576−93

doi: 10.1016/j.ins.2022.08.115
[17]

Zhang X, Zhong S, Mahadevan S. 2022. Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network. Transportation Research Part C: Emerging Technologies 144:103873

doi: 10.1016/j.trc.2022.103873
[18]

Clewlow R, Simaiakis I, Balakrishnan H. 2010. Impact of arrivals on departure taxi operations at airports. Proc. AIAA Guidance, Navigation, and Control Conference, 2−5 August 2010, Toronto, Ontario Canada. US: AIAA. https://doi.org/10.2514/6.2010-7698

[19]

Tang X, Ji X, Liu J. 2022. Predicting aircraft taxiing estimated time of arrival by cluster analysis. IET Intelligent Transport Systems 16:252−62

doi: 10.1049/itr2.12141
[20]

Khatib O. Real-time obstacle avoidance for manipulators and mobile robots. Proceedings. 1985 IEEE International Conference on Robotics and Automation, St. Louis, MO, USA, 25−28 March 1985. USA: IEEE. pp. 500−5 doi: 10.1109/ROBOT.1985.1087247

[21]

Wang J, Wu J, Zheng X, Ni D, Li K. 2016. Driving safety field theory modeling and its application in pre-collision warning system. Transportation Research Part C: Emerging Technologies 72:306−24

doi: 10.1016/j.trc.2016.10.003
[22]

Shao Y, Shi X, Zhang Y, Zhang Y, Xu Y, et al. 2023. Adaptive forward collision warning system for hazmat truck drivers: considering differential driving behavior and risk levels. Accident Analysis & Prevention 191:107221

doi: 10.1016/j.aap.2023.107221
[23]

Shao Y, Han Z, Shi X, Zhang Y, Ye Z. 2024. Risk-informed longitudinal control in autonomous vehicles: A safety potential field modeling approach. Physica A: Statistical Mechanics and its Applications 633:129419

doi: 10.1016/j.physa.2023.129419
[24]

Zhao L, Fu X. 2021. A novel index for real-time ship collision risk assessment based on velocity obstacle considering dimension data from AIS. Ocean Engineering 240:109913

doi: 10.1016/j.oceaneng.2021.109913
[25]

Zhu X, Yi J, Ding H, He L. 2020. Velocity obstacle based on vertical ellipse for multi-robot collision avoidance. Journal of Intelligent & Robotic Systems 99:183−208

doi: 10.1007/s10846-019-01127-6
[26]

Yuan X, Zhang D, Zhang J, Zhang M, Guedes Soares C. 2021. A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics. Ocean Engineering 220:108436

doi: 10.1016/j.oceaneng.2020.108436
[27]

Wakabayashi T, Suzuki Y, Suzuki S. 2023. Dynamic obstacle avoidance for Multi-rotor UAV using chance-constraints based on obstacle velocity. Robotics and Autonomous Systems 160:104320

doi: 10.1016/j.robot.2022.104320
[28]

Su Y, Luo J, Zhuang J, Song S, Huang B, et al. 2023. A constrained locking sweeping method and velocity obstacle based path planning algorithm for unmanned surface vehicles in complex maritime traffic scenarios. Ocean Engineering 279:113538

doi: 10.1016/j.oceaneng.2022.113538
[29]

Chen P, Huang Y, Mou J, Van Gelder PHAJM. 2018. Ship collision candidate detection method: A velocity obstacle approach. Ocean Engineering 170:186−98

doi: 10.1016/j.oceaneng.2018.10.023
[30]

Van den Berg J, Lin M, Manocha D. Reciprocal velocity obstacles for real-time multi-agent navigation. 2008 IEEE International Conference on Robotics and Automation, Pasadena, CA, USA, 19−23 May 2008. USA: IEEE. pp. 1928−35 doi: 10.1109/ROBOT.2008.4543489

[31]

Van Den Berg J, Guy SJ, Lin M, Manocha D. Reciprocal n-body collision avoidance. Robotics Research. Springer Tracts in Advanced Robotics, eds. Pradalier C, Siegwart R, Hirzinger G. Berlin, Heidelberg: Springer. pp. 3-19 doi: 10.1007/978-3-642-19457-3_1

[32]

Chen J, Weiszer M, Locatelli G, Ravizza S, Atkin JA, et al. 2016. Toward a more realistic, cost-effective, and greener ground movement through active routing: a multiobjective shortest path approach. IEEE Transactions on Intelligent Transportation Systems 17:3524−40

doi: 10.1109/TITS.2016.2587619
[33]

Wang C, Xie Y, Huang H, Liu P. 2021. A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling. Accident Analysis & Prevention 157:106157

doi: 10.1016/j.aap.2021.106157
[34]

Shao Y, Zhang Y, Zhang Y, Shi X, Shiwakoti N, et al. 2024. A virtual vehicle–based car-following model to reproduce hazmat truck drivers' differential behaviors. Journal of Advanced Transportation 2024:5041012

doi: 10.1155/2024/5041012
[35]

Transport Canada. 2015. Aerodrome standards and recommended practices. https://tc.canada.ca/en/aviation/publications/aerodromes-standards-recommended-practices-tp-312

[36]

Sunshine Coast Airport. 2023. Airside vehicle control handbook (Annex B – Aerodrome mannual). www.sunshinecoastairport.com.au/wp-content/uploads/2023/11/Airside-Vehicle-Control-Handbook-Version-5.3-October2023-compressed.pdf

[37]

Changi Airport Group. 2022. Airport operational and safety requirements. www.changiairport.com/content/dam/cacorp/documents/engineeringanddevelopment/AOS%20Manual%20Rev%2027%20

[38]

Qian X, Mao J, Chen CH, Chen S, Yang C. 2017. Coordinated multi-aircraft 4D trajectories planning considering buffer safety distance and fuel consumption optimization via pure-strategy game. Transportation Research Part C: Emerging Technologies 81:18−35

doi: 10.1016/j.trc.2017.05.008
[39]

Fiorini P, Shiller Z. 1998. Motion planning in dynamic environments using velocity obstacles. The international journal of robotics research 17:760−72

doi: 10.1177/027836499801700706
[40]

Durand N, Barnier N. 2015. Does ATM need centralized coordination? Autonomous conflict resolution analysis in a constrained speed environment. Air Traffic Control Quarterly 23(4):325−46

doi: 10.2514/atcq.23.4.325
[41]

Fox D, Burgard W, Thrun S. 1997. The dynamic window approach to collision avoidance. IEEE Robotics & Automation Magazine 4:23−33

doi: 10.1109/100.580977
[42]

Zhao N, Li N, Sun Y, Zhang L. 2021. Research on aircraft surface taxi path planning and conflict detection and resolution. Journal of Advanced Transportation 2021(1):9951206

doi: 10.1155/2021/9951206
[43]

Sui D, Chen H, Zhou T. 2023. A conflict resolution strategy at a taxiway intersection by combining a Monte Carlo tree search with prior knowledge. Aerospace 10(11):914

doi: 10.3390/aerospace10110914
[44]

The State Council of the People's Republic of China. 2007. Basic flight rules of the People's Republic of China. (in Chinese) www.gov.cn/zhengce/2007-10/29/content_2602493.htm

[45]

Civil Aviation Administration of China. 2006. Rules for the management of road traffic safety in aircraft activity areas of civil airports. (in Chinese) www.gov.cn/gongbao/content/2007/content_728276.htm