The Application of Drones in City Logistics Concepts

  • Snežana Tadić University of Belgrade, Faculty of Transport and Traffic Engineering
  • Milovan Kovač University of Belgrade, Faculty of Transport and Traffic Engineering
  • Olja Čokorilo University of Belgrade, Faculty of Transport and Traffic Engineering
Keywords: city logistics, CL concept, drone, consolidation, micro-consolidation, multi-echelon system, sustainability


With the rise of city logistics (CL) problems in the last three decades, various methods, approaches, solutions, and initiatives were analyzed and proposed for making logistics in urban areas more sustainable. The most analyzed and promising solutions are those that take into account cooperation among logistics providers and consolidation of the flow of goods. Furthermore, technological innovations enable the implementation of modern vehicles/equipment in order to make CL solutions sustainable. For several years, drone-based delivery has attracted lots of attention in scientific research, but there is a serious gap in the literature regarding the application of drones in CL concepts. The goal of this paper is to analyze four CL concepts that differ in consolidation type, transformation degree of flow of goods (direct and indirect, multi-echelon flows), and the role of drones. Two of the analyzed concepts are novel, which is the main contribution of the paper. The performances of the analyzed concepts are compared to the performances of the traditional delivery model – using only trucks without prior flow consolidation. The results indicate that CL concepts which combine different consolidation models and drones in the last phase of the delivery could stand out as a sustainable CL solution.


Tadić S, Zečević S. Modeliranje koncepcija city logistike. Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade, Serbia; 2016. Serbian.

Tadić S, Zečević S, Krstić M. City logistics – status and trends. International Journal for Traffic and Transport Engineering. 2015;5(3): 319-343. DOI: 10.7708/ijtte.2015.5(3).09

Rezende Amaral R, Šemanjski I, Gautama S, Aghezzaf E-H. Urban mobility and city logistics – Trends and case study. Promet – Traffic&Transportation. 2018;30(5): 613-622. DOI: 10.7307/ptt.v30i5.2825

Van Rooijen T, Guikink D, Quak H. Long-term effects of innovative city logistics measures. In: Taniguchi E, Thompson RG. (eds.) City Logistics 1: New Opportunities and Challenges. 1st ed. Hoboken, New Jersey: John Wiley & Sons; 2018. p. 189-208. DOI: 10.1002/9781119425519.ch10

Tadić S, Zečević S. Kooperacija i konsolidacija tokova u city logistici. Tehnika. 2015;62(4): 687-694. Serbian. DOI: 10.5937/tehnika1504687T

Tadić S, Zečević S, Petrović-Vujačić J. Globalni trendovi i razvoj logistike. Ekonomski vidici. 2013;18(4): 519-532. Serbian. Available from:

Kostrzewski M, Varjan P, Gnap J. Solutions dedicated to internal Logistics 4.0. In: Grzybowska K, Awasthi A, Sawney R. (eds.) Sustainable logistics and production in Industry 4.0. Springer, Switzerland; 2020. p. 243-262. DOI: 10.1007/978-3-030-33369-0

Aurambout J-P, Gkoumas K, Ciuffo B. Last mile delivery by drones: an estimation of viable market potential and access to citizens across European cities. European Transport Research Review. 2019;11(1): 30. DOI: 10.1186/s12544-019-0368-2

Raicu S, Costescu D, Burciu S. Distribution system with flow consolidation at the boundary of urban congested areas. Sustainability. 2020;12(3): 990-1007. DOI: 10.3390/su12030990

Allen J, Browne M, Woodburn A, Leonardi J. The role of urban consolidation centres in sustainable freight transport. Transport Reviews. 2012;32(4): 473-490. DOI: 10.1080/01441647.2012.688074

Janjevic M, Ndiaye AB. Development and application of a transferability framework for micro-consolidation schemes in urban freight transport. Procedia – Social and Behavioral Sciences. 2014;125: 284-296. DOI: 10.1016/j.sbspro.2014.01.1474

Rai HB, Verlinde S, Macharis C. City logistics in an omnichannel environment: The case of Brussels. Case Studies on Transport Policy. 2019;7: 310-317. DOI: 10.1016/j.cstp.2019.02.002

Dondo R, Mendez C, Cerda J. The multi-echelon vehicle routing problem with cross dock in supply chain management. Computers & Chemical Engineering. 2011;35(12): 3002-3024. DOI: 10.1016/j.compchemeng.2011.03.028

Cuda R, Guastaroba G, Speranza MG. A survey on two-echelon routing problems. Computers & Operations Research. 2015;55: 185-199. DOI: 10.1016/j.cor.2014.06.008

Yang P, Zeng L. Models and methods for two-echelon location routing problem with time constraints in city logistics. Mathematical Problems in Engineering. 2018: 1-9. DOI: 10.1155/2018/2549713

Vahrenkamp R. 25 years city logistic: Why failed the urban consolidation centres? European Transport. 2016;60(4): 1-6.

Akgun Z, Monios J, Fonzone A. Supporting urban consolidation centres with urban freight transport policies: A comparative study of Scotland and Sweeden. International Journal of Logistics Research and Applications. 2019;23(3): 291-310. DOI: 10.1080/13675567.2019.1679743

Browne M, Allen J, Leonardi J. Evaluating the use of an urban consolidation centre and electric vehicles in central London. IATSS Research. 2011;35(1): 1-6. DOI: 10.1016/j.iatssr.2011.06.002

Dayarian I, Savelsbergh M, Clarke J-P. Same-day delivery with drone resupply. Transportation Science. 2020. DOI: 10.1287/trsc.2019.0944

Dorling K, Heinrichs J, Messier G, Magierowski S. Vehicle routing problems for drone delivery. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2017;47(1): 70-85. DOI: 10.1109/TSMC.2016.2582745

Tavana M, Khalili-Damghani K, Santos-Artega F, Zandi M. Drone shipping versus truck delivery in a cross-docking system with multiple fleets and products. Expert Systems with Applications. 2017;72: 93-107. DOI: 10.1016/j.eswa.2016.12.014

Lee J. Optimization of a modular drone delivery system, In: 2017 Annual IEEE International Systems Conference (SysCon), April 2017, Montreal, Quebec; 2017. p. 1-8. DOI: 10.1109/SYSCON.2017.7934790

Rao B, Gopi AG, Maione R. The societal impact of commercial drones. Technology in Society. 2016;45: 83-90. DOI: 10.1016/j.techsoc.2016.02.009

Stocker C, Bennett R, Nex F, Gerke M, Zevenbergen J. Review of the current state of UAV regulations. Remote Sensing. 2017;9(5): 495-520. DOI: 10.3390/rs9050459

Čokorilo O, Miščević M. Civil drones: Safety issues. In: Proceedings of the International Symposium: Strategical Transport Development in Southeast Europe, 2018, Budva, Montenegro; 2018. p. 107-113.

Murray C, Chu A. The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C: Emerging Technologies. 2015;54: 86-109. DOI: 10.1016/j.trc.2015.03.005

Agatz N, Bouman P, Schmidt M. Optimization approaches for the traveling salesman problem with drone. Transportation Science. 2018;52(4): 965-981. DOI: 10.1287/trsc.2017.0791

Ha Q, Deville Y, Pham Q, Ha M. On the min-cost traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies. 2018;86: 597-621. DOI: 10.1016/j.trc.2017.11.015

Es Yurek E, Ozmutlu H. A decomposition-based iterative optimization algorithm for traveling salesman problem with drone. Transportation Research Part C: Emerging Technologies. 2018;91: 249-262. DOI: 10.1016/j.trc.2018.04.009

Schermer D, Moeini M, Wendt O. A metaheuristic for the vehicle routing problem with drones and its variants. Transportation Research Part C: Emerging Technologies. 2019;106: 166-204. DOI: 10.1016/j.trc.2019.06.016

Popović D, Kovač M, Bjelić N. A MIQP model for solving the vehicle routing problem with drones. In: Proceedings of 4th Logistics International Conference – LOGIC, May 2019, Belgrade, Serbia; 2019. p. 52-62.

Mourelo Ferrandez S, Harbison T, Weber T, Sturges R, Rich R. Optimization of a truck-drone in tandem delivery network using k-means and genetic algorithm. Journal of Industrial Engineering and Management. 2016;9(2): 374-388. DOI: 10.3926/jiem.1929

Karak A, Abdelghany K. The hybrid vehicle-drone routing problem for pick-up and delivery services. Transportation Research Part C: Emerging Technologies. 2019;102: 427-449. DOI: 10.1016/j.trc.2019.03.021

Luo Z, Liu Z, Shi J. A two-echelon cooperated routing problem for a ground vehicle and its carried unmanned aerial vehicle. Sensors. 2017;17(5): 1144-1161. DOI: 10.3390/s17051144

Huang H, Savkin AV, Huang C. Scheduling of a parcel delivery system consisting of an aerial drone interacting with public transportation vehicles. Sensors. 2020;20(7): 2045-2062. DOI: 10.3390/s20072045

Dell’Amico M, Montemanni R, Novellani S. Metaheuristic algorithms for the parallel drone scheduling traveling salesman problem. Annals of Operations Research. 2020: 1-16.

Mbiadou Saleu R, Deroussi L, Feillet D, Grangeon N, Quilliot A. An iterative two-step heuristic for the parallel drone scheduling traveling salesman problem. Networks. 2018;72(2): 459-474. DOI: 10.1002/net.21846

Kim S, Moon I. Traveling salesman problem with a drone station. IEEE Transactions on Systems, Man and Cybernetics: Systems. 2018;99: 1-11. DOI: 10.1109/TSMC.2018.2867496

Kim J, Moon H, Jung H. Drone-based parcel delivery using rooftops of city buildings: Model and solution. Applied Sciences. 2020;10(12): 4362-4381. DOI: 10.3390/app10124362

Perera S, Dawande M, Janakiraman G, Mookerjee V. Retail deliveries by drones: How will logistics networks change. Production and Operations Management. 2020 (Accepted manuscript). DOI: 10.1111/poms.13217

Goodchild A, Toy J. Delivery by drone: An evaluation of unmanned aerial vehicle technology in reducin CO2 emissions in the delivery service industry. Transportation Research Part D: Transport and Environment. 2018;61: 58-67. DOI: 10.1016/j.trd.2017.02.017

Chiang W-C, Li Y, Shang J, Urban T. Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization. Applied Energy. 2019;242: 1164-1175. DOI: 10.1016/j.apenergy.2019.03.117

The Government of the Republic of Serbia. Pravilnik o bespilotnim vazduhoplovima. Službeni Glasnik Republike Srbije. 2020; 108/15. Serbian.

Vidović K, Šoštarić M, Budimir D. An overview of indicators and indices used for urban mobility assessment. Promet – Traffic&Transportation. 2019;31(6): 703-714. DOI: 10.7307/ptt.v31i6.3281

Demir E, Bektas T, Laporte G. A review of recent research on green road freight transportation. European Journal of Operational Research. 2014;237(3): 775-793. DOI: 10.1016/j.ejor.2013.12.033

Network for transport measures - NTM. Road cargo transport baselines 2018 EU; 2018. Available from: [Accessed 30th August 2020].

How to Cite
Tadić S, Kovač M, Čokorilo O. The Application of Drones in City Logistics Concepts. Promet - Traffic&Transportation. 2021;33(3):451-62. DOI: 10.7307/ptt.v33i3.3721