Modeling and Simulation of Express Delivery Using Quadrotor UAVs

Hafiz Muhammad Rashid Nazir , Yanming Sun , Yongjun Hu , Muhammad Shahzad Nazir

Drones Auton. Veh. ›› 2026, Vol. 3 ›› Issue (3) : 10019

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Drones Auton. Veh. ›› 2026, Vol. 3 ›› Issue (3) :10019 DOI: 10.70322/dav.2026.10019
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Modeling and Simulation of Express Delivery Using Quadrotor UAVs
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Abstract

In this study, the trajectory planning and control problem for quadrotor unmanned aerial vehicles (UAVs) in logistics-oriented delivery scenarios. A smooth trajectory generation method based on spline curves is proposed to ensure continuous, stable, and feasible flight paths for quadrotor UAVs under dynamic constraints. The proposed method focuses on general UAV path planning rather than a specific express delivery optimization problem. A simulation platform is developed to evaluate the effectiveness of the trajectory planning and control framework, where a PID-based controller is implemented for trajectory tracking and attitude stabilization. The performance of the proposed method is validated through two representative emergency delivery scenarios, demonstrating accurate path tracking and stable flight behavior under environmental disturbances. The results indicate that the proposed framework provides a reliable simulation tool for UAV trajectory planning and control analysis, contributing to general UAV motion planning research rather than a specific delivery optimization formulation.

Keywords

Express delivery / Simulation system / Smooth control of delivery / Path processing / Four-axis unmanned aerial vehicle

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Hafiz Muhammad Rashid Nazir, Yanming Sun, Yongjun Hu, Muhammad Shahzad Nazir. Modeling and Simulation of Express Delivery Using Quadrotor UAVs. Drones Auton. Veh., 2026, 3 (3) : 10019 DOI:10.70322/dav.2026.10019

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References

[1]

Delmerico J, Mintchev S, Giusti A, Gromov B, Melo K, Horvat T, et al. The current state and future outlook of rescue robotics. J. Field Robot. 2019, 36, 1171-1191. DOI: 10.1002/rob.21887

[2]

Sai S, Garg A, Jhawar K, Chamola V, Sikdar B. A comprehensive survey on artificial intelligence for unmanned aerial vehicles. IEEE Open J. Veh. Technol. 2023, 4, 713-738. DOI: 10.1109/OJVT.2023.3316181

[3]

Wang X, Chen G, Gong H, Jiang J. UAV swarm autonomous control based on Internet of Things and artificial intelligence algorithms. J. Intell. Fuzzy Syst. 2021, 40, 7121-7133. DOI: 10.3233/JIFS—189541

[4]

Wei Z, Zhu M, Zhang N, Wang L, Zou Y, Meng Z, et al. UAV—assisted data collection for Internet of Things: A survey. IEEE Internet Things J. 2022, 9, 15460-15483. DOI: 10.1109/JIOT.2022.3176903

[5]

Nayyar A, Nguyen BL, Nguyen NG. The internet of drone things (IoDT): Future envision of smart drones. In Proceedings of the First International Conference on Sustainable Technologies for Computational Intelligence: Proceedings of ICTSCI 2019; Springer: Singapore, 2020.

[6]

Ashour R, Aldhaheri S, Abu—Kheil Y. Applications of UAVs in search and rescue. In Unmanned Aerial Vehicles Applications: Challenges and Trends; Springer: Cham, Switzerland, 2023; pp. 169-200.

[7]

Pereira FL. Optimal control problems in drone operations for disaster search and rescue. Procedia Comput. Sci. 2021, 186, 78-86. DOI: 10.1016/j.procs.2021.04.127

[8]

Subramanian KS, Pazhanivelan S, Srinivasan G, Santhi R, Sathiah N. Drones in insect pest management. Front. Agron. 2021, 3, 640885. DOI: 10.3389/fagro.2021.640885

[9]

Shahrooz M, Talaeizadeh A, Alasty A. Agricultural spraying drones: Advantages and disadvantages. In Proceedings of the 2020 Virtual Symposium in Plant Omics Sciences (OMICAS), Bogotá, Colombia, 23—27 November 2020.

[10]

Rashid Nazir HM, Sun Y, Hu Y. Optimized collaborative routing for UAVs and ground vehicles in integrated logistics systems. Drones 2025, 9, 538. DOI: 10.3390/drones9080538

[11]

Çimen M, Soysal M. Time—dependent green vehicle routing problem with stochastic vehicle speeds: An approximate dynamic programming algorithm. Transp. Res. Part D Transp. Environ. 2017, 54, 82-98. DOI: 10.1016/j.trd.2017.04.016

[12]

Sawadsitang S, Niyato D, Tan PS, Wang P, Nutanong S. Multi—objective optimization for drone delivery. In Proceedings of the 2019 IEEE 90th Vehicular Technology Conference (VTC2019—Fall), Honolulu, HI, USA, 22—25 September 2019.

[13]

Rinaldi M, Primatesta S, Bugaj M, Rostáš J, Guglieri G. Urban Air Logistics with Unmanned Aerial Vehicles (UAVs): Double—Chromosome Genetic Task Scheduling with Safe Route Planning. Smart Cities 2024, 7, 2842-2860. DOI: 10.3390/smartcities7050110

[14]

Sajid M, Mittal H, Pare S, Prasad M. Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach. Appl. Soft Comput. 2022, 126, 109225. DOI: 10.1016/j.asoc.2022.109225

[15]

Mohsan SAH, Othman NQH, Li Y, Alsharif MH, Khan MA. Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends. Intell. Serv. Robot. 2023, 16, 109-137. DOI: 10.1007/s11370—022—00452—4

[16]

Betti Sorbelli F. UAV—Based Delivery Systems: A Systematic Review, Current Trends, and Research Challenges. J. Auton. Transp. Syst. 2024, 1, 1-40. DOI: 10.1145/3649224

[17]

Kingston D, Beard R. Real—time attitude and position estimation for small UAVs using low—cost sensors. In Proceedings of the AIAA 3rd “Unmanned Unlimited” Technical Conference, Workshop and Exhibit, Chicago, IL, USA, 20—23 September 2004.

[18]

Yilmazer M, Karakose E, Karakose M. Multi—Package Delivery Optimization with Drone. In Proceedings of the 2021 International Conference on Data Analytics for Business and Industry (ICDABI), Sakheer, Bahrain, 25—26 October 2021.

[19]

Zheng P, Wang Z, Chen CH, Pheng Khoo L. A survey of smart product—service systems: Key aspects, challenges and future perspectives. Adv. Eng. Inform. 2019, 42, 100973. DOI: 10.1016/j.aei.2019.100973

[20]

Bayomi N, Fernandez JE. Eyes in the sky: drones applications in the built environment under climate change challenges. Drones 2023, 7, 637. DOI: 10.3390/drones7100637

[21]

Salam A, Hoang AD, Meghna A, Martin DR, Guzman G, Yoon YH, et al. The future of emerging IoT paradigms: architectures and technologies. Preprints 2019, 2019120276, 1803020. DOI: 10.20944/preprints201912.0276.v1

[22]

Ithayan JV, Ranganathan CS, Vinola C, Venkatesh G, Meenakshi R, Muthulekshmi M. Smart Tracking and Surveillance Systems for Automated Delivery Robots in Food and E—Commerce Systems. In Proceedings of the2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India, 23—25 October 2024.

[23]

Farrag TA, Askr H, Elhosseini MA, Hassanien AE, Farag MA. Intelligent Parcel Delivery Scheduling Using Truck—Drones to Cut down Time and Cost. Drones 2024, 8, 477. DOI: 10.3390/drones8090477

[24]

Orenstein I, Raviv T, Sadan E. Flexible parcel delivery to automated parcel lockers: models, solution methods and analysis. EURO J. Transp. Logist. 2019, 8, 683-711. DOI: 10.1007/s13676—019—00144—7

[25]

Kolasińska—Morawska K, Sułkowski Ł, Buła P, Brzozowska M, Morawski P. Smart logistics—Sustainable technological innovations in customer service at the last—mile stage: The polish perspective. Energies 2022, 15, 6395. DOI: 10.3390/en15176395

[26]

Raivi AM, Huda SA, Alam MM, Moh S. Drone routing for drone—based delivery systems: A review of trajectory planning, charging, and security. Sensors 2023, 23, 1463. DOI: 10.3390/s23031463

[27]

Rezvanizaniani SM, Liu Z, Chen Y, Lee J. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. J. Power Sources 2014, 256, 110-124. DOI: 10.1016/j.jpowsour.2014.01.085

[28]

Cornejo J, Barrera S, Ruiz CH, Gutiérrez F, Casasnovas MO, Kot L, et al. Industrial, Collaborative and Mobile Robotics in Latin America: Review of Mechatronic Technologies for Advanced Automation. Emerg. Sci. J. 2023, 7, 1430-1458. DOI: 10.28991/ESJ—2023—07—04—025

[29]

Shen P, Wang F, Luo W, Zhao Y, Li L, Zhang G, et al. Based on improved joint detection and tracking of UAV for multi—target detection of livestock. Heliyon 2024, 10, e38316. DOI: 10.1016/j.heliyon.2024.e38316

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