Journal of Global Humanities and Social Sciences 2737-5374 2737-5382 BONI FUTURE DIGITAL PUBLISHING CO.,LIMITED https://ojs.bonfuturepress.com/index.php/GHSS/article/view/2052 7 4 2026 2026-08-18 Optimization of UAV–UGV Last-Mile Collaborative Delivery under Dynamic Carbon Footprint Constraints: Visual Simulation and Scenario Analysis of Coordinated Air–Ground Unmanned Delivery System Yu Qiao*,Xinwen Deng,Xiaoying Huang,Wanting Chen,Yimeng Lin,Zuqiang Luo,Yuchen Du,Luyao Li,Meijun Shen,Xuanxuan Chen To address the challenges of operational cost control, safety assurance, and dynamic carbon footprint management in urban last-mile logistics, this study proposes a UAV–UGV air–ground collaborative delivery framework and develops a multi-objective optimization model considering efficiency, safety, and low-carbon performance. A visual simulation platform is constructed using HTML5 Canvas and Three.js, integrating obstacle avoidance, low-altitude UAV delivery, random scenario generation, and dynamic route re-planning modules. Simulation results show that, under an order density of 20 orders/100 km², the proposed strategy reduces total operational time by 33.9% compared with traditional truck delivery and decreases travel distance by 24.3% compared with UAV-only delivery. The unit carbon emission intensity is reduced by 96.4% and 24.3% compared with truck-based and UAV-only delivery modes, respectively. The obstacle avoidance algorithm achieves a 100% success rate in 50 random scenarios, with a path length variation coefficient of 0.132, demonstrating strong robustness. Sensitivity analysis confirms that the model remains stable under ±20% variations in carbon emission factors and carbon trading prices. This study provides a quantitative decision-support framework for unmanned delivery optimization and low-carbon logistics equipment selection. At the same time, it provides a reference for nurturing potential talent for the future. air–ground collaborative delivery,UAV–UGV,carbon footprint tracking,visual simulation,talent cultivation 10.61360/BoniGHSS26202052040801

Chu, L. Y., & Huang, X. T. (2026). Optimization of collaborative delivery between logistics vehicles and drones considering carbon emissions in mountainous areas. Computer Engineering and Applications, 1–17. https://link.cnki.net/urlid/11.2127.TP.20260605.1706.022 [Chinese journal] Dorling, K., Heinrichs, J., Messier, G. G., & Magierowski, S. (2017). Vehicle routing problems for drone delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1), 70–85. Du, X. Q., Zhang, X. S., Xie, Y. H., et al. (2025). Can carbon emission trading promote energy conservation and emission reduction in enterprises? A quasi-natural experiment based on the pilot carbon emission trading policy. Journal of Management Science in China, 28(7), 22–38. https://doi.org/10.19920/j.cnki.jmsc.2025.07.002 [Chinese journal] Geng, K. K., Cheng, X. L., Ding, P. B., et al. (2026). Review of the development status of key technologies for air-ground collaborative systems. Journal of Mechanical Engineering, 1–20. https://link.cnki.net/urlid/11.2187.th.20260205.1509.026 [Chinese journal] Li, B., Liu, B., Chen, A. Q., et al. (2021). Carbon footprint calculation of fruits and vegetables based on cold chain logistics mode. Journal of Refrigeration, 42(2), 158–166. [Chinese journal] Li, D. D., Shang, C. X., Huang, Q. Z., et al. (2026). Research on carbon emission trading mechanisms based on total amount and intensity dual control under the “dual carbon” goals. Journal of Industrial Engineering and Engineering Management, 40(2), 209–219. https://doi.org/10.13587/j.cnki.jieem.2026.02.015 [Chinese journal] Liao, J., Xie, R. H., Tang, J., et al. (2019). Carbon footprint calculation and empirical study of the whole-process cold chain logistics for litchi products. Packaging Engineering, 40(3), 19–29. https://doi.org/10.19554/j.cnki.1001-3563.2019.03.004 [Chinese journal] Liu, G. H., Wu, J. Z., You, L., et al. (2018). Construction and empirical analysis of carbon footprint model for cold chain logistics systems. Journal of Refrigeration, 39(4), 19–25. [Chinese journal] Murray, C. C., & Chu, A. G. (2015). The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C: Emerging Technologies, 54, 86–109. Ren, X. H., Wang, L., & Zou, X. T. (2020). Research on innovative models of urban instant delivery based on multiple factors. Commercial Economic Research, (11), 133–136. [Chinese journal] Rodrigues, T. A., Patrikar, J., Oliveira, N. L., et al. (2021). Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery. arXiv preprint arXiv:2111.11463. Tu, Q., Cai, Y. Z., & Li, Z. D. (2026). How does carbon emission trading promote urban energy green transformation? Evidence from panel data of 282 cities in China. Soft Science, 1–14. https://link.cnki.net/urlid/51.1268.g3.20260616.1715.009 [Chinese journal] Wang, F., Xu, H. F., & Wang, J. S. (2026). Air-ground collaborative delivery route optimization for multiple distribution centers. Journal of South China University of Technology (Natural Science Edition), 54(6), 42–53. [Chinese journal] Wu, G. H., Mao, N., Xu, B. J., et al. (2023). A collaborative delivery method for multiple vehicles and multiple drones based on adaptive large neighborhood search algorithm. Control and Decision, 38(1), 201–210. https://doi.org/10.13195/j.kzyjc.2021.2268 [Chinese journal] Xu, S. F., Fei, W. X., Li, H., et al. (2026). UAV-UGV air-ground collaborative path planning method based on three-stage optimization. Acta Aeronautica et Astronautica Sinica, 47(7), 245–266. [Chinese journal] Zhang, L., Wei, Y. Q., & Jiang, L. (2026). The impact mechanism and policy optimization of carbon emission trading on urban green development. Urban Development Studies, 33(3), 103–110. [Chinese journal] Zhang, R. P., & Pan, X. (2025). Construction of a collaborative pathway between carbon tax and carbon emission trading under the “dual carbon” goals. International Trade, (9), 27–37+48. https://doi.org/10.14114/j.cnki.itrade.2025.09.003 [Chinese journal] Zou, C., Yang, Q., Li, J., et al. (2026). Towards sustainable urban logistics: Route optimization for collaborative UAV–UGV delivery systems under road network and energy constraints. Sustainability, 18(2), Article 1091.