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UAV-Based Delivery Systems: A Systematic Review, Current Trends, and Research Challenges

Published: 20 May 2024 Publication History

Abstract

The rising popularity of drones significantly impacts package delivery services, offering both unique opportunities and challenges. This survey explores the diverse applications of drones for last-mile deliveries, highlighting their capacity to access remote areas and create new business prospects. Use cases, ranging from critical medical deliveries to addressing COVID-19 pandemic needs, underscore the transformative potential of drone technology. While recognizing drones’ eco-friendly attributes in eliminating harmful gas emissions, the survey addresses battery constraints, necessitating an investigation into physical energy models to extend flight autonomy. This becomes crucial for operational capabilities, especially in adverse weather conditions. A reliable communication infrastructure is crucial for the success of drone operations in package delivery, especially during unexpected events, as seamless connectivity plays a key role in facilitating efficient control and monitoring between ground stations and drones. This enables dynamic rerouting, enhancing overall delivery reliability. The survey explores innovative approaches, including collaborations with other vehicles like trucks, trains, and buses, optimizing the last-mile delivery process. Despite the transformative potential, concerns about privacy, security, safety, and risk management in drone delivery are acknowledged. The work also emphasizes responsible and ethical implementation, considering diverse concerns associated with widespread adoption.
In contrast to existing survey articles focused on specific technical aspects, this comprehensive survey broadens its scope. It covers ethical issues, sustainability aspects, healthcare systems, physics models, innovative approaches, reliable communications, security and safety concerns, and real test-beds in drone-based delivery systems. The survey not only identifies potential applications and tackles technical challenges but also integrates broader considerations. In addition, this work extensively explores the motivations, lessons learned, and future directions in the realm of drone delivery. Analyzing existing literature, it provides valuable insights for researchers, industry professionals, policymakers, and stakeholders keen on understanding the dynamic evolution of drone technology in the package delivery domain.

References

[1]
Evan Ackerman and Eliza Strickland. 2018. Medical delivery drones take flight in east africa. IEEE Spectrum 55, 1 (2018), 34–35.
[2]
Ahmed Al-Hilo, Moataz Samir, Chadi Assi, Sanaa Sharafeddine, and Dariush Ebrahimi. 2020. UAV-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management. IEEE Trans. on Intelligent Transportation Systems 22, 8 (2020), 5155–5167.
[3]
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Svetlana V. Shvetsova, Ammar Hawbani, Mohsen Guizani, Mohammed A. Alhartomi, and Ou Ma. 2022. Blockchain-empowered security and energy efficiency of drone swarm consensus for environment exploration. IEEE Trans. on Green Communications and Networking 7, 1 (2022), 328–338.
[4]
Riham Altawy and Amr M. Youssef. 2016. Security, privacy, and safety aspects of civilian drones: A survey. ACM Trans. on Cyber-Physical Systems 1, 2 (2016), 1–25.
[5]
Bander Alzahrani, Omar Sami Oubbati, Ahmed Barnawi, Mohammed Atiquzzaman, and Daniyal Alghazzawi. 2020. UAV assistance paradigm: State-of-the-art in applications and challenges. Journal of Network and Computer Applications 166, September (2020), 102706.
[6]
Jean-Philippe Aurambout, Konstantinos Gkoumas, and Biagio Ciuffo. 2019. Last mile delivery by drones: An estimation of viable market potential and access to citizens across European cities. European Transport Research Review 11, 1 (2019), 1–21.
[7]
Donkyu Baek, Yukai Chen, Alberto Bocca, Alberto Macii, Enrico Macii, and Massimo Poncino. 2018. Battery-aware energy model of drone delivery tasks. In Proceedings of the Intl. Symposium on Low Power Electronics and Design. Association for Computing Machinery, New York, NY, 1–6.
[8]
Mariusz A. Balaban, Thomas W. Mastaglio, and Christopher J. Lynch. 2016. Analysis of future UAS-based delivery. In 2016 Winter Simulation Conf. (WSC). IEEE, IEEE, Washington, DC, 1595–1606.
[9]
Andrea Baldisseri, Chiara Siragusa, Arianna Seghezzi, Riccardo Mangiaracina, and Angela Tumino. 2022. Truck-based drone delivery system: An economic and environmental assessment. Transportation Research Part D: Transport and Environment 107, June (2022), 103296.
[10]
Mina Carolina Baumgarten, Johann Röper, Klaus Hahnenkamp, and Karl-Christian Thies. 2022. Drones delivering automated external defibrillatorsIntegrating unmanned aerial systems into the chain of survival: A simulation study in rural Germany. Resuscitation 172, March (2022), 139–145.
[11]
Pedram Beigi, Mohammad Sadra Rajabi, and Sina Aghakhani. 2022. An overview of drone energy consumption factors and models. Handbook of Smart Energy Systems (2022), 1–20.
[12]
Taha Benarbia and Kyandoghere Kyamakya. 2022. A literature review of drone-based package delivery logistics systems and their implementation feasibility. Sustainability 14, 1 (2022), 360.
[13]
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti. 2022. Greedy algorithms for scheduling package delivery with multiple drones. In Proceedings of the 23rd International Conference on Distributed Computing and Networking. 31–39.
[14]
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, and Cristina M. Pinotti. 2022. On the scheduling of conflictual deliveries in a last-mile delivery scenario with truck-carried drones. Pervasive and Mobile Computing 87, December (2022), 101700.
[15]
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, and Cristina M. Pinotti. 2020. Energy-constrained delivery of goods with drones under varying wind conditions. IEEE Trans. on Intelligent Transportation Systems 22, 9 (2020), 6048–6060.
[16]
Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Cristina M. Pinotti, and Anil Shende. 2023. Dispatching point selection for a drone-based delivery system operating in a mixed Euclidean–Manhattan grid. Annals of Operations Research (2023), 1–20.
[17]
Francesco Betti Sorbelli, Federico Corò, Lorenzo Palazzetti, Cristina M. Pinotti, and Giulio Rigoni. 2023. How the wind can be leveraged for saving energy in a truck-drone delivery system. IEEE Trans. on Intelligent Transportation Systems 24, 4 (2023), 4038–4049.
[18]
Francesco Betti Sorbelli, Alfredo Navarra, Lorenzo Palazzetti, Cristina M. Pinotti, and Giuseppe Prencipe. 2024. Wireless IoT sensors data collection reward maximization by leveraging multiple energy-and storage-constrained UAVs. J. Comput. System Sci. 139, February (2024), 103475.
[19]
Francesco Betti Sorbelli, Lorenzo Palazzetti, and Cristina M. Pinotti. 2023. YOLO-based detection of Halyomorpha halys in orchards using RGB cameras and drones. Computers and Electronics in Agriculture 213, October (2023), 108228.
[20]
Francesco Betti Sorbelli, Cristina M. Pinotti, and Giulio Rigoni. 2023. On the evaluation of a drone-based delivery system on a mixed euclidean-manhattan grid. IEEE Trans. on Intelligent Transportation Systems 24, 1 (2023), 1276–1287.
[21]
Nils Boysen, Stefan Fedtke, and Stefan Schwerdfeger. 2021. Last-mile delivery concepts: A survey from an operational research perspective. Or Spectrum 43, March (2021), 1–58.
[22]
Gino Brunner, Bence Szebedy, Simon Tanner, and Roger Wattenhofer. 2019. The urban last mile problem: Autonomous drone delivery to your balcony. In 2019 Intl. Conf. on Unmanned Aircraft Systems (icuas). IEEE, 1005–1012.
[23]
Tiziana Calamoneri, Federico Corò, and Simona Mancini. 2022. A realistic model to support rescue operations after an earthquake via uavs. IEEE Access 10 (2022), 6109–6125.
[24]
Antonio Caruso, Stefano Chessa, Soledad Escolar, Jesús Barba, and Juan Carlos López. 2021. Collection of data with drones in precision agriculture: Analytical model and LoRa case study. IEEE Internet of Things Journal 8, 22 (2021), 16692–16704.
[25]
Muhammad Asaad Cheema, Rafay Iqbal Ansari, Nouman Ashraf, Syed Ali Hassan, Hassaan Khaliq Qureshi, Ali Kashif Bashir, and Christos Politis. 2022. Blockchain-based secure delivery of medical supplies using drones. Computer Networks 204, February (2022), 108706.
[26]
Charlie Chen, Steve Leon, and Peter Ractham. 2022. Will customers adopt last-mile drone delivery services? An analysis of drone delivery in the emerging market economy. Cogent Business & Management 9, 1 (2022), 2074340.
[27]
Heng Chen, Zhangchen Hu, and Senay Solak. 2021. Improved delivery policies for future drone-based delivery systems. European Journal of Operational Research 294, 3 (2021), 1181–1201.
[28]
Kuan-Wen Chen, Ming-Ru Xie, Yu-Min Chen, Ting-Tsan Chu, and Yi-Bing Lin. 2022. DroneTalk: An internet-of-things-based drone system for last-mile drone delivery. IEEE Trans. on Intelligent Transportation Systems 23, 9 (2022), 15204–15217.
[29]
Yukai Chen, Donkyu Baek, Alberto Bocca, Alberto Macii, Enrico Macii, and Massimo Poncino. 2018. A case for a battery-aware model of drone energy consumption. In 2018 IEEE Intl. Telecommunications Energy Conf. (INTELEC). IEEE, 1–8.
[30]
Chun Cheng, Yossiri Adulyasak, and Louis-Martin Rousseau. 2020. Drone routing with energy function: Formulation and exact algorithm. Transportation Research Part B: Methodological 139 (2020), 364–387.
[31]
Chun Cheng, Yossiri Adulyasak, Louis-Martin Rousseau, and Melvyn Sim. 2020. Robust drone delivery with weather information. History September (2020). https://optimization-online.org/2020/07/7897/
[32]
Wen-Chyuan Chiang, Yuyu Li, Jennifer Shang, and Timothy L. Urban. 2019. Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization. Applied Energy 242, May (2019), 1164–1175.
[33]
Ja Young Choe, Jinkyung Jenny Kim, and Jinsoo Hwang. 2021. Perceived risks from drone food delivery services before and after COVID-19. Intl. Journal of Contemporary Hospitality Management 33, 4 (2021), 1276–1296.
[34]
Chung Hoon Choi, Hyeon Jun Jang, Seong Gyu Lim, Hyun Chul Lim, Sung Ho Cho, and Igor Gaponov. 2016. Automatic wireless drone charging station creating essential environment for continuous drone operation. In 2016 Intl. Conf. on Control, Automation and Information Sciences (ICCAIS). IEEE, 132–136.
[35]
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, and Marco Pavone. 2021. Efficient large-scale multi-drone delivery using transit networks. Journal of Artificial Intelligence Research 70, Febuary (2021), 757–788.
[36]
Sung Hoon Chung, Bhawesh Sah, and Jinkun Lee. 2020. Optimization for drone and drone-truck combined operations: A review of the state of the art and future directions. Computers & Operations Research 123, November (2020), 105004.
[37]
Cihan Tugrul Cicek, Çağrı Koç, Hakan Gultekin, and Güneş Erdoğan. 2024. Communication-aware drone delivery problem. IEEE Transactions on Intelligent Transportation Systems. DOI:
[38]
Achiel Colpaert, Michaël Raes, Evgenii Vinogradov, and Sofie Pollin. 2022. Drone delivery: Reliable cellular UAV communication using multi-operator diversity. In ICC 2022-IEEE Intl. Conf. on Communications. IEEE, 1–6.
[39]
Dyutimoy Nirupam Das, Rohan Sewani, Junwei Wang, and Manoj Kumar Tiwari. 2020. Synchronized truck and drone routing in package delivery logistics. IEEE Trans. on Intelligent Transportation Systems 22, 9 (2020), 5772–5782.
[40]
Sunayana Das, Bhabendu Kumar Mohanta, and Debasish Jena. 2020. IoT commercial drone and it’s privacy and security issues. In 2020 Intl. Conf. on Computer Science, Engineering and Applications (ICCSEA). IEEE, 1–4.
[41]
Iman Dayarian, Martin Savelsbergh, and John-Paul Clarke. 2020. Same-day delivery with drone resupply. Transportation Science 54, 1 (2020), 229–249.
[42]
Xudong Deng, Mingke Guan, Yunfeng Ma, Xijie Yang, and Ting Xiang. 2022. Vehicle-assisted uav delivery scheme considering energy consumption for instant delivery. Sensors 22, 5 (2022), 2045.
[43]
Michael Dienstknecht, Nils Boysen, and Dirk Briskorn. 2022. The traveling salesman problem with drone resupply. OR Spectrum 44, 4 (2022), 1045–1086.
[44]
Kevin Dorling, Jordan Heinrichs, Geoffrey G. Messier, and Sebastian Magierowski. 2016. Vehicle routing problems for drone delivery. IEEE Trans. on Systems, Man, and Cybernetics: Systems 47, 1 (2016), 70–85.
[45]
Okan Dukkanci, Bahar Y. Kara, and Tolga Bektaş. 2021. Minimizing energy and cost in range-limited drone deliveries with speed optimization. Transportation Research Part C: Emerging Technologies 125, 4 (2021), 102985.
[46]
Margaret Eichleay, Emily Evens, Kayla Stankevitz, and Caleb Parker. 2019. Using the unmanned aerial vehicle delivery decision tool to consider transporting medical supplies via drone. Global Health: Science and Practice 7, 4 (2019), 500–506.
[47]
Hossein Eskandaripour and Enkhsaikhan Boldsaikhan. 2023. Last-mile drone delivery: Past, present, and future. Drones 7, 2 (2023), 77.
[48]
Kristin Flemons, Barry Baylis, Aurang Zeb Khan, Andrew W. Kirkpatrick, Ken Whitehead, Shahab Moeini, Allister Schreiber, Stephanie Lapointe, Sara Ashoori, Mishal Arif, Byron Berenger, John Conly, and Wade Hawkins. 2022. The use of drones for the delivery of diagnostic test kits and medical supplies to remote First Nations communities during COVID-19. American Journal of Infection Control 50, 8 (2022), 849–856.
[49]
Eitan Frachtenberg. 2019. Practical drone delivery. Computer 52, 12 (2019), 53–57.
[50]
Zabih Ghelichi, Monica Gentili, and Pitu B. Mirchandani. 2021. Logistics for a fleet of drones for medical item delivery: A case study for Louisville, KY. Computers & Operations Research 135, November (2021), 105443.
[51]
Anne Goodchild and Jordan Toy. 2018. Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducing CO2 emissions in the delivery service industry. Transportation Research Part D: Transport and Environment 61, June (2018), 58–67.
[52]
Luigi Alfredo Grieco, Gennaro Boggia, Giuseppe Piro, Yaser Jararweh, and Claudia Campolo. 2020. Ad-Hoc, Mobile, and Wireless Networks: 19th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2020, Bari, Italy, October 19–21, 2020, Proceedings. Vol. 12338. Springer Nature.
[53]
Qiuchen Gu, Tijun Fan, Fei Pan, and Chong Zhang. 2020. A vehicle-UAV operation scheme for instant delivery. Computers & Industrial Engineering 149, November (2020), 106809.
[54]
Rajesh Gupta, Arpit Shukla, Parimal Mehta, Pronaya Bhattacharya, Sudeep Tanwar, Sudhanshu Tyagi, and Neeraj Kumar. 2020. Vahak: A blockchain-based outdoor delivery scheme using uav for healthcare 4.0 services. In IEEE INFOCOM 2020-IEEE Conf. on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 255–260.
[55]
Astrid Gynnild and Turo Uskali. 2018. Responsible Drone Journalism. Taylor & Francis.
[56]
Abdul Hafeez, Mohammed Aslam Husain, S. P. Singh, Anurag Chauhan, Mohd Tauseef Khan, Navneet Kumar, Abhishek Chauhan, and S. K. Soni. 2023. Implementation of drone technology for farm monitoring & pesticide spraying: A review. Information Processing in Agriculture 10, 2 (2023), 192–203.
[57]
Michelle Hampson. 2018. Drone delivers human kidney: The organ was flown several kilometers by a drone without incurring damage-[News]. IEEE Spectrum 56, 1 (2018), 7–9.
[58]
Vikas Hassija, Vinay Chamola, Adhar Agrawal, Adit Goyal, Nguyen Cong Luong, Dusit Niyato, Fei Richard Yu, and Mohsen Guizani. 2021. Fast, reliable, and secure drone communication: A comprehensive survey. IEEE Communications Surveys & Tutorials 23, 4 (2021), 2802–2832.
[59]
Daojing He, Sammy Chan, and Mohsen Guizani. 2017. Drone-assisted public safety networks: The security aspect. IEEE Communications Magazine 55, 8 (2017), 218–223.
[60]
Michelle Sing Yee Hii, Patrick Courtney, and Paul G. Royall. 2019. An evaluation of the delivery of medicines using drones. Drones 3, 3 (2019), 52.
[61]
Jacco M. Hoekstra and Joost Ellerbroek. 2016. Bluesky ATC simulator project: An open data and open source approach. In Proceedings of the 7th Intl. Conf. on Research in Air Transportation, Vol. 131. FAA/Eurocontrol USA/Europe, 132.
[62]
Insu Hong, Michael Kuby, and Alan T. Murray. 2018. A range-restricted recharging station coverage model for drone delivery service planning. Transportation Research Part C: Emerging Technologies 90, May (2018), 198–212.
[63]
Hailong Huang and Andrey V. Savkin. 2021. Deployment of charging stations for drone delivery assisted by public transportation vehicles. IEEE Trans. on Intelligent Transportation Systems 23, 9 (2021), 15043–15054.
[64]
Hailong Huang, Andrey V. Savkin, and Chao Huang. 2019. When drones take public transport: Towards low cost and large range parcel delivery. In 2019 IEEE 17th Intl. Conf. on Industrial Informatics (INDIN), Vol. 1. IEEE, 1657–1660.
[65]
Hailong Huang, Andrey V. Savkin, and Chao Huang. 2020. A new parcel delivery system with drones and a public train. Journal of Intelligent & Robotic Systems 100, December (2020), 1341–1354.
[66]
Hailong Huang, Andrey V. Savkin, and Chao Huang. 2020. Reliable path planning for drone delivery using a stochastic time-dependent public transportation network. IEEE Trans. on Intelligent Transportation Systems 22, 8 (2020), 4941–4950.
[67]
Hailong Huang, Andrey V. Savkin, and Chao Huang. 2020. Round trip routing for energy-efficient drone delivery based on a public transportation network. IEEE Trans. on Transportation Electrification 6, 3 (2020), 1368–1376.
[68]
Hailong Huang, Andrey V. Savkin, and Chao Huang. 2020. Scheduling of a parcel delivery system consisting of an aerial drone interacting with public transportation vehicles. Sensors 20, 7 (2020), 2045.
[69]
Rachna Jain, Meenu Gupta, Kashish Garg, and Akash Gupta. 2021. Robotics and drone-based solution for the impact of COVID-19 worldwide using AI and IoT. Emerging Technologies for Battling Covid-19: Applications and Innovations (2021), 139–156.
[70]
Jun-Mo Jo. 2015. An efficient MANET routing protocol for the drone delivery communication network system. The Journal of the Korea Institute of Electronic Communication Sciences 10, 9 (2015), 973–978.
[71]
Hosang Jung and Junsu Kim. 2022. Drone scheduling model for delivering small parcels to remote islands considering wind direction and speed. Computers & Industrial Engineering 163, January (2022), 107784.
[72]
Shyam Sundar Kannan and Byung-Cheol Min. 2022. Autonomous drone delivery to your door and yard. In 2022 Intl. Conf. on Unmanned Aircraft Systems (ICUAS). IEEE, 452–461.
[73]
Raheen Khalid and Stanislav M. Chankov. 2020. Drone delivery using public transport: an agent-based modelling and simulation approach. In Dynamics in Logistics: Proceedings of the 7th Intl. Conf. LDIC 2020, Bremen, Germany. Springer, 374–383.
[74]
Rabeel Khan, Sadaf Tausif, and Ahmed Javed Malik. 2019. Consumer acceptance of delivery drones in urban areas. Intl. Journal of Consumer Studies 43, 1 (2019), 87–101.
[75]
Arindam Khanda, Federico Corò, Francesco Betti Sorbelli, Cristina M. Pinotti, and Sajal K. Das. 2021. Efficient route selection for drone-based delivery under time-varying dynamics. In 2021 IEEE 18th Intl. Conf. on Mobile Ad Hoc and Smart Systems (MASS). IEEE, 437–445.
[76]
Aakash Khochare, Francesco Betti Sorbelli, Yogesh Simmhan, and Sajal K. Das. 2024. Improved algorithms for co-scheduling of edge analytics and routes for UAV fleet missions. IEEE/ACM Transactions on Networking 32, 1 (2024), 17–33.
[77]
Thomas Kirschstein. 2020. Comparison of energy demands of drone-based and ground-based parcel delivery services. Transportation Research Part D: Transport and Environment 78, January (2020), 102209.
[78]
Thomas Kirschstein. 2021. Energy demand of parcel delivery services with a mixed fleet of electric vehicles. Cleaner Engineering and Technology 5, December (2021), 100322.
[79]
Patchara Kitjacharoenchai, Byung-Cheol Min, and Seokcheon Lee. 2020. Two echelon vehicle routing problem with drones in last mile delivery. Intl. Journal of Production Economics 225, July (2020), 107598.
[80]
Adarsh Kumar, Rajalakshmi Krishnamurthi, Anand Nayyar, Ashish Kr. Luhach, Mohammad S. Khan, and Anuraj Singh. 2021. A novel software-defined drone network (SDDN)-based collision avoidance strategies for on-road traffic monitoring and management. Vehicular Communications 28, April (2021), 100313.
[81]
Abhishake Kundu and Timothy I. Matis. 2017. A delivery time reduction heuristic using drones under windy conditions. In IIE Annual Conf. Proceedings. Institute of Industrial and Systems Engineers (IISE), 1864–1869.
[82]
Kaya Kuru, Darren Ansell, Wasiq Khan, and Halil Yetgin. 2019. Analysis and optimization of unmanned aerial vehicle swarms in logistics: An intelligent delivery platform. Ieee Access 7 (2019), 15804–15831.
[83]
Jaihyun Lee. 2017. Optimization of a modular drone delivery system. In 2017 Annual IEEE Intl. Systems Conf. (SysCon). IEEE, 1–8.
[84]
Seonhoon Lee, Dooyoung Hong, Jaemin Kim, Donkyu Baek, and Naehyuck Chang. 2022. Congestion-aware multi-drone delivery routing framework. IEEE Trans. on Vehicular Technology 71, 9 (2022), 9384–9396.
[85]
Jianxun Li, Hao Liu, Kin Keung Lai, and Bhagwat Ram. 2022. Vehicle and UAV collaborative delivery path optimization model. Mathematics 10, 20 (2022), 3744.
[86]
Yuyu Li, Wei Yang, and Bo Huang. 2020. Impact of UAV delivery on sustainability and costs under traffic restrictions. Mathematical Problems in Engineering 2020 (2020), 1–15.
[87]
Yi-Jing Liang and Zhi-Xing Luo. 2022. A survey of truck–drone routing problem: Literature review and research prospects. Journal of the Operations Research Society of China 10, 2 (2022), 343–377.
[88]
Connie A. Lin, Karishma Shah, Lt Col Cherie Mauntel, and Sachin A. Shah. 2018. Drone delivery of medications: Review of the landscape and legal considerations. The Bulletin of the American Society of Hospital Pharmacists 75, 3 (2018), 153–158.
[89]
Min Lin, Yuming Chen, Rui Han, and Yao Chen. 2018. Discrete optimization on truck-drone collaborative transportation system for delivering medical resources. Discrete Dynamics in Nature and Society 75, 3 (2018), 153–158.
[90]
Geoffrey Ling and Nicole Draghic. 2019. Aerial drones for blood delivery. Transfusion 59, S2 (2019), 1608–1611.
[91]
Rocci Luppicini and Arthur So. 2016. A technoethical review of commercial drone use in the context of governance, ethics, and privacy. Technology in Society 46, August (2016), 109–119.
[92]
Giusy Macrina, Luigi Di Puglia Pugliese, Francesca Guerriero, and Gilbert Laporte. 2020. Drone-aided routing: A literature review. Transportation Research Part C: Emerging Technologies 120, November (2020), 102762.
[93]
Praveen Kumar Reddy Maddikunta, Saqib Hakak, Mamoun Alazab, Sweta Bhattacharya, Thippa Reddy Gadekallu, Wazir Zada Khan, and Quoc-Viet Pham. 2021. Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges. IEEE Sensors Journal 21, 16 (2021), 17608–17619.
[94]
Elmer R. Magsino, Marc Francis Say, and John Amos Tan. 2020. Achieving complete UAV delivery in the presence of motor failures. In 2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE). IEEE, 1–5.
[95]
Asish Oommen Mathew, Abhishek Nath Jha, Anasuya K. Lingappa, and Pranshu Sinha. 2021. Attitude towards drone food delivery servicesrole of innovativeness, perceived risk, and green image. Journal of Open Innovation: Technology, Market, and Complexity 7, 2 (2021), 144.
[96]
Rico Merkert and James Bushell. 2020. Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control. Journal of Air Transport Management 89, October (2020), 101929.
[97]
Kaddour Messaoudi, Omar Sami Oubbati, Abderrezak Rachedi, Abderrahmane Lakas, Tahar Bendouma, and Noureddine Chaib. 2023. A survey of UAV-based data collection: Challenges, solutions and future perspectives. Journal of Network and Computer Applications 216, July 2023 (2023), 103670.
[98]
Victor R. F. Miranda, Adriano M. C. Rezende, Thiago L. Rocha, Héctor Azpúrua, Luciano C. A. Pimenta, and Gustavo M. Freitas. 2022. Autonomous navigation system for a delivery drone. Journal of Control, Automation and Electrical Systems 33, February (2022), 141–155.
[99]
Amirhossein Moadab, Fatemeh Farajzadeh, and Omid Fatahi Valilai. 2022. Drone routing problem model for last-mile delivery using the public transportation capacity as moving charging stations. Scientific Reports 12, 1 (2022), 1–16.
[100]
Syed Agha Hassnain Mohsan, Qurat ul Ain Zahra, Muhammad Asghar Khan, Mohammed H. Alsharif, Ismail A. Elhaty, and Abu Jahid. 2022. Role of drone technology helping in alleviating the COVID-19 pandemic. Micromachines 13, 10 (2022), 1593.
[101]
Mohammad Moshref-Javadi, Ahmad Hemmati, and Matthias Winkenbach. 2020. A truck and drones model for last-mile delivery: A mathematical model and heuristic approach. Applied Mathematical Modelling 80, April (2020), 290–318.
[102]
Mohammad Moshref-Javadi, Ahmad Hemmati, and Matthias Winkenbach. 2021. A comparative analysis of synchronized truck-and-drone delivery models. Computers & Industrial Engineering 162, December (2021), 107648.
[103]
Mohammad Moshref-Javadi, Seokcheon Lee, and Matthias Winkenbach. 2020. Design and evaluation of a multi-trip delivery model with truck and drones. Transportation Research Part E: Logistics and Transportation Review 136, April (2020), 101887.
[104]
Chase C. Murray and Ritwik Raj. 2020. The multiple flying sidekicks traveling salesman problem: Parcel delivery with multiple drones. Transportation Research Part C: Emerging Technologies 110, January (2020), 368–398.
[105]
Waleed Najy, Claudia Archetti, and Ali Diabat. 2023. Collaborative truck-and-drone delivery for inventory-routing problems. Transportation Research Part C: Emerging Technologies 146, January (2023), 103791.
[106]
Ty Nguyen and Tsz-Chiu Au. 2017. Extending the range of delivery drones by exploratory learning of energy models. In AAMAS. 1658–1660.
[107]
Marie Paul Nisingizwe, Pacifique Ndishimye, Katare Swaibu, Ladislas Nshimiyimana, Prosper Karame, Valentine Dushimiyimana, Jean Pierre Musabyimana, Clarisse Musanabaganwa, Sabin Nsanzimana, and Michael R. Law. 2022. Effect of unmanned aerial vehicle (drone) delivery on blood product delivery time and wastage in Rwanda: a retrospective, cross-sectional study and time series analysis. The Lancet Global Health 10, 4 (2022), e564–e569.
[108]
Albert Apotele Nyaaba and Matthew Ayamga. 2021. Intricacies of medical drones in healthcare delivery: Implications for Africa. Technology in Society 66, August (2021), 101624.
[109]
Sergio Ortiz, Carlos T. Calafate, Juan-Carlos Cano, Pietro Manzoni, and Chai K. Toh. 2018. A UAV-based content delivery architecture for rural areas and future smart cities. IEEE Internet Computing 23, 1 (2018), 29–36.
[110]
Christian Nedu Osakwe, Marek Hudik, David Říha, Michael Stros, and T. Ramayah. 2022. Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter? Journal of Retailing and Consumer Services 65, March (2022), 102865.
[111]
Lorenzo Palazzetti. 2021. Routing drones being aware of wind conditions: A case study. In 2021 17th Intl. Conf. on Distributed Computing in Sensor Systems (DCOSS). IEEE, 343–350.
[112]
Jiyoon Park, Solhee Kim, and Kyo Suh. 2018. A comparative analysis of the environmental benefits of drone-based delivery services in urban and rural areas. Sustainability 10, 3 (2018), 888.
[113]
Chengyi Qu, Francesco Betti Sorbelli, Rounak Singh, Prasad Calyam, and Sajal K. Das. 2023. Environmentally-aware and energy-efficient multi-drone coordination and networking for disaster response. IEEE Transactions on Network and Service Management 20, 2 (2023), 1093–1109.
[114]
Andri Rahmadhani, Richard, Radhika Isswandhana, Andreas Giovani, and Riza Alaudin Syah. 2018. LoRaWAN as secondary telemetry communication system for drone delivery. In 2018 IEEE Intl. Conf. on Internet of Things and Intelligence System (IOTAIS). IEEE, 116–122.
[115]
Asif Mahmud Raivi, S. M. Huda, Muhammad Morshed Alam, and Sangman Moh. 2023. Drone routing for drone-based delivery systems: A review of trajectory planning, charging, and security. Sensors 23, 3 (2023), 1463.
[116]
Mohammad Sadra Rajabi, Pedram Beigi, and Sina Aghakhani. 2023. Drone delivery systems and energy management: A review and future trends. Handbook of Smart Energy Systems (2023), 1–19.
[117]
ALKA Rani, AMRESH Chaudhary, N. Sinha, M. Mohanty, and R. Chaudhary. 2019. Drone: The green technology for future agriculture. Harit Dhara 2, 1 (2019), 3–6.
[118]
Ehsan Rashidzadeh, Seyyed Mohammad Hadji Molana, Roya Soltani, and Ashkan Hafezalkotob. 2021. Assessing the sustainability of using drone technology for last-mile delivery in a blood supply chain. Journal of Modelling in Management 16, 4 (2021), 1376–1402.
[119]
Nigel Rees, Jeremy Howitt, Nigel Breyley, Phil Geoghegan, and Carl Powel. 2021. A simulation study of drone delivery of Automated External Defibrillator (AED) in Out of Hospital Cardiac Arrest (OHCA) in the UK. Plos One 16, 11 (2021), e0259555.
[120]
Giulio Rigoni, Cristina M. Pinotti, Bhumika, Debasis Das, and Sajal K. Das. 2022. Delivery with UAVs: A simulated dataset via ATS. In 2022 IEEE 95th Vehicular Technology Conf.:(VTC2022-Spring). IEEE, 1–6.
[121]
Thiago A. Rodrigues, Jay Patrikar, Natalia L. Oliveira, H Scott Matthews, Sebastian Scherer, and Constantine Samaras. 2022. Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery. Patterns 3, 8 (2022), 100569.
[122]
Mohammad Sajid, Himanshu Mittal, Shreya Pare, and Mukesh Prasad. 2022. Routing and scheduling optimization for UAV assisted delivery system: A hybrid approach. Applied Soft Computing 126, September (2022), 109225.
[123]
Khin Thida San, Sun Ju Mun, Yeong Hun Choe, and Yoon Seok Chang. 2018. UAV delivery monitoring system. In MATEC Web of Conf.s, Vol. 151. EDP Sciences, 04011.
[124]
Anibal Sanjab, Walid Saad, and Tamer Başar. 2019. Drone delivery of an automated external defibrillator–a mixed method simulation study of bystander experience. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 27, 1 (2019), 1–9.
[125]
Anibal Sanjab, Walid Saad, and Tamer Başar. 2017. Prospect theory for enhanced cyber-physical security of drone delivery systems: A network interdiction game. In 2017 IEEE Intl. Conf. on Communications (ICC). IEEE, 1–6.
[126]
Suttinee Sawadsitang, Dusit Niyato, Puay Siew Tan, Ping Wang, and Sarana Nutanong. 2019. Multi-objective optimization for drone delivery. In 2019 IEEE 90th Vehicular Technology Conf. (VTC2019-Fall). IEEE, 1–5.
[127]
Joseph R. Scalea, Tony Pucciarella, Tara Talaie, Stephen Restaino, Cinthia Beskow Drachenberg, Charlie Alexander, Talal Al Qaoud, Rolf N. Barth, Norman M. Wereley, and Matthew Scassero. 2021. Successful implementation of unmanned aircraft use for delivery of a human organ for transplantation. Annals of Surgery 274, 3 (2021), e282–e288.
[128]
Judy Scott and Carlton Scott. 2017. Drone delivery models for healthcare. In 50th Hawaii Intl. Conf. on System Sciences.
[129]
Seung-Hyun Seo, Jongho Won, Elisa Bertino, Yousung Kang, and Dooho Choi. 2016. A security framework for a drone delivery service. In Proceedings of the 2Nd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use. 29–34.
[130]
Babar Shahzaad, Athman Bouguettaya, Sajib Mistry, and Azadeh Ghari Neiat. 2021. Resilient composition of drone services for delivery. Future Generation Computer Systems 115, February (2021), 335–350.
[131]
Jun Shao, Jin Cheng, Boyuan Xia, Kewei Yang, and Hechuan Wei. 2020. A novel service system for long-distance drone delivery using the “Ant Colony+ A*” algorithm. IEEE Systems Journal 15, 3 (2020), 3348–3359.
[132]
Ruifeng She and Yanfeng Ouyang. 2021. Efficiency of UAV-based last-mile delivery under congestion in low-altitude air. Transportation Research Part C: Emerging Technologies 122, January (2021), 102878.
[133]
Ruifeng She and Yanfeng Ouyang. 2022. Hybrid truck-drone delivery under aerial traffic congestion. Available at SSRN 4189367 (2022).
[134]
Maninderpal Singh, Gagangeet Singh Aujla, Rasmeet Singh Bali, Sahil Vashisht, Amritpal Singh, and Anish Jindal. 2020. Blockchain-enabled secure communication for drone delivery: a case study in COVID-like scenarios. In Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond. 25–30.
[135]
Byung Duk Song, Kyungsu Park, and Jonghoe Kim. 2018. Persistent UAV delivery logistics: MILP formulation and efficient heuristic. Computers & Industrial Engineering 120, June (2018), 418–428.
[136]
Joshuah K. Stolaroff, Constantine Samaras, Emma R. O’Neill, Alia Lubers, Alexandra S. Mitchell, and Daniel Ceperley. 2018. Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery. Nature Communications 9, 1 (2018), 409.
[137]
Dante Tezza and Marvin Andujar. 2019. The state-of-the-art of human–drone interaction: A survey. IEEE Access 7 (2019), 167438–167454.
[138]
Amila Thibbotuwawa, Grzegorz Bocewicz, Peter Nielsen, and Zbigniew Banaszak. 2020. UAV mission planning subject to weather forecast constraints. In Distributed Computing and Artificial Intelligence, 16th Intl. Conf., Special Sessions. Springer, 65–76.
[139]
Amila Thibbotuwawa, Grzegorz Bocewicz, Grzegorz Radzki, Peter Nielsen, and Zbigniew Banaszak. 2020. UAV mission planning resistant to weather uncertainty. Sensors 20, 2 (2020), 515.
[140]
Maryam Torabbeigi, Gino J. Lim, and Seon Jin Kim. 2018. Drone delivery schedule optimization considering the reliability of drones. In 2018 Intl. Conf. on Unmanned Aircraft Systems (ICUAS). IEEE, 1048–1053.
[141]
Maryam Torabbeigi, Gino J. Lim, and Seon Jin Kim. 2020. Drone delivery scheduling optimization considering payload-induced battery consumption rates. Journal of Intelligent & Robotic Systems 97, March (2020), 471–487.
[142]
Asma Troudi, Sid-Ali Addouche, Sofiene Dellagi, and Abderrahman El Mhamedi. 2018. Sizing of the drone delivery fleet considering energy autonomy. Sustainability 10, 9 (2018), 3344.
[143]
Alejandro Valencia-Arias, Paula Andrea Rodríguez-Correa, Juan Camilo Patiño-Vanegas, Martha Benjumea-Arias, Jhony De La Cruz-Vargas, and Gustavo Moreno-López. 2022. Factors associated with the adoption of drones for product delivery in the context of the COVID-19 pandemic in medellin, colombia. Drones 6, 9 (2022), 225.
[144]
Desheng Wang, Peng Hu, Jingxuan Du, Pan Zhou, Tianping Deng, and Menglan Hu. 2019. Routing and scheduling for hybrid truck-drone collaborative parcel delivery with independent and truck-carried drones. IEEE Internet of Things Journal 6, 6 (2019), 10483–10495.
[145]
Ying-Ying Weng, Rong-Yu Wu, and Yu-Jun Zheng. 2023. Cooperative truck–drone delivery path optimization under urban traffic restriction. Drones 7, 1 (2023), 59.
[146]
Nan Kyu Yang, Khin Thida San, and Yoon Seok Chang. 2016. A novel approach for real time monitoring system to manage UAV delivery. In 2016 5th iiai Intl. Congress on Advanced Applied Informatics (iiai-aai). IEEE, 1054–1057.
[147]
Yaxing Yao, Huichuan Xia, Yun Huang, and Yang Wang. 2017. Free to fly in public spaces: Drone controllers’ privacy perceptions and practices. In Proceedings of the 2017 CHI Conf. on Human Factors in Computing Systems. 6789–6793.
[148]
Ümit Yaprak, Fatih Kılıç, and Abdullah Okumuş. 2021. Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone. Technological Forecasting and Social Change 169, August (2021), 120829.
[149]
Shumayla Yaqoob, Ata Ullah, Muhammad Awais, Iyad Katib, Aiiad Albeshri, Rashid Mehmood, Mohsin Raza, Saif ul Islam, and Joel JPC Rodrigues. 2021. Novel congestion avoidance scheme for Internet of Drones. Computer Communications 169, March (2021), 202–210.
[150]
Yunqiang Yin, Dongwei Li, Dujuan Wang, Joshua Ignatius, TCE Cheng, and Sutong Wang. 2023. A branch-and-price-and-cut algorithm for the truck-based drone delivery routing problem with time windows. European Journal of Operational Research 309, 3 (2023), 1125–1144.
[151]
Wonsang Yoo, Eun Yu, and Jaemin Jung. 2018. Drone delivery: Factors affecting the public’s attitude and intention to adopt. Telematics and Informatics 35, 6 (2018), 1687–1700.
[152]
An Zhang, Han Xu, Wenhao Bi, and Shuangfei Xu. 2022. Adaptive mutant particle swarm optimization based precise cargo airdrop of unmanned aerial vehicles. Applied Soft Computing 130, November (2022), 109657.
[153]
Juan Zhang, James F. Campbell, Donald C. Sweeney II, and Andrea C. Hupman. 2021. Energy consumption models for delivery drones: A comparison and assessment. Transportation Research Part D: Transport and Environment 90, January (2021), 102668.
[154]
Lei Zhao, Xinhua Bi, Zhaohui Dong, Ni Xiao, and Anni Zhao. 2024. Robust traveling salesman problem with drone: Balancing risk and makespan in contactless delivery. International Transactions in Operational Research 31, 1 (2024), 167–191.
[155]
Yi Zhou, Cunhua Pan, Phee Lep Yeoh, Kezhi Wang, Maged Elkashlan, Branka Vucetic, and Yonghui Li. 2020. Communication-and-computing latency minimization for UAV-enabled virtual reality delivery systems. IEEE Trans. on Communications 69, 3 (2020), 1723–1735.
[156]
Xun Zhu. 2019. Segmenting the public’s risk beliefs about drone delivery: A belief system approach. Telematics and Informatics 40, July (2019), 27–40.
[157]
Xun Zhu, Timothy J. Pasch, and Aaron Bergstrom. 2020. Understanding the structure of risk belief systems concerning drone delivery: A network analysis. Technology in Society 62, August (2020), 101262.

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  1. UAV-Based Delivery Systems: A Systematic Review, Current Trends, and Research Challenges

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      cover image ACM Journal on Autonomous Transportation Systems
      ACM Journal on Autonomous Transportation Systems  Volume 1, Issue 3
      September 2024
      147 pages
      EISSN:2833-0528
      DOI:10.1145/3613672
      • Editors:
      • Vaneet Aggarwal,
      • Satish V. Ukkusuri
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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 20 May 2024
      Online AM: 21 February 2024
      Accepted: 18 February 2024
      Revised: 05 February 2024
      Received: 09 January 2024
      Published in JATS Volume 1, Issue 3

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      1. Unmanned aerial vehicles (UAVs)
      2. drone delivery
      3. sustainable delivery
      4. transportation of blood and organs
      5. drone energy models
      6. delivery safety and security

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      • (2024)Obstacle Shadowing in Vehicle-to-Satellite Communication: Impact of Location, Street Layout, Building Height, and LEO Satellite Constellation2024 IEEE Vehicular Networking Conference (VNC)10.1109/VNC61989.2024.10575991(305-312)Online publication date: 29-May-2024
      • (2024)A privacy-preserving location data collection framework for intelligent systems in edge computingAd Hoc Networks10.1016/j.adhoc.2024.103532161(103532)Online publication date: Aug-2024

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