| [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. |
| [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. |
| [6] |
Shvetsov AV. 2021. Analysis of accidents resulting from the interaction of air and ground vehicles at airports. |
| [7] |
Meng Q, Liu P, Liu Z. 2022. Integrating multimodal transportation research. |
| [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. |
| [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. |
| [10] |
Wilke S, Majumdar A, Ochieng WY. 2014. Airport surface operations: a holistic framework for operations modeling and risk management. |
| [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. |
| [14] |
Zhou H, Jiang X. 2015. Research on taxiway path optimization based on conflict detection. |
| [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. |
| [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. |
| [17] |
Zhang X, Zhong S, Mahadevan S. 2022. Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network. |
| [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. |
| [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. |
| [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. |
| [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. |
| [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. |
| [25] |
Zhu X, Yi J, Ding H, He L. 2020. Velocity obstacle based on vertical ellipse for multi-robot collision avoidance. |
| [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. |
| [27] |
Wakabayashi T, Suzuki Y, Suzuki S. 2023. Dynamic obstacle avoidance for Multi-rotor UAV using chance-constraints based on obstacle velocity. |
| [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. |
| [29] |
Chen P, Huang Y, Mou J, Van Gelder PHAJM. 2018. Ship collision candidate detection method: A velocity obstacle approach. |
| [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. |
| [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. |
| [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. |
| [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. |
| [39] |
Fiorini P, Shiller Z. 1998. Motion planning in dynamic environments using velocity obstacles. |
| [40] |
Durand N, Barnier N. 2015. Does ATM need centralized coordination? Autonomous conflict resolution analysis in a constrained speed environment. |
| [41] |
Fox D, Burgard W, Thrun S. 1997. The dynamic window approach to collision avoidance. |
| [42] |
Zhao N, Li N, Sun Y, Zhang L. 2021. Research on aircraft surface taxi path planning and conflict detection and resolution. |
| [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. |
| [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 |