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Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System

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Intelligent Transport Systems (INTSYS 2022)

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Abstract

This study explores a new research direction on the cooperation between electric vehicles (EVs) and drones in last-mile logistics in the form of electric vehicle routing problem with drones (E-VRPD). The primary objective of E-VRPD is to find an optimal vehicle tour to minimize the total completion time to deliver parcels to a set of customer nodes using a set of EVs, each equipped with a single drone. Due to the importance of such problems and the lack of existing techniques, in this work, we develop a sequential decomposition algorithm with an improvement phase to solve E-VRPD. This algorithm involves the development of a mathematical formulation for inserting drone sorties into an EV tour, leading to a matheuristic algorithm. The proposed method is evaluated on a set of instances involving up to 40 customers and 7 recharging nodes, with the experimental results showing the effectiveness and relevancy of E-VRPD.

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References

  1. Boysen, N., Fedtke, S., Schwerdfeger, S.: Last-mile delivery concepts: a survey from an operational research perspective. OR Spectr. 43(1), 1–58 (2021)

    Article  MathSciNet  Google Scholar 

  2. Murray, C.C., Chu, A.G.: The flying sidekick traveling salesman problem: optimization of drone-assisted parcel delivery. Transp. Res. Part C: Emerg. Technol. 54, 86–109 (2015)

    Article  Google Scholar 

  3. Sacramento, D., Pisinger, D., Ropke, S.: An adaptive large neighborhood search metaheuristic for the vehicle routing problem with drones. Transp. Res. Part C: Emerg. Technol. 102, 289–315 (2019)

    Article  Google Scholar 

  4. Kucukoglu, I., Dewil, R., Cattrysse, D.: The electric vehicle routing problem and its variations: a literature review. Comput. Industr. Eng. 161(July), 107650 (2021)

    Article  Google Scholar 

  5. Boschetti, M.A., Maniezzo, V.: Matheuristics: using mathematics for heuristic design. 4OR 20(2), 173–208 (2022)

    Article  MathSciNet  Google Scholar 

  6. Agatz, N., Bouman, P., Schmidt, M.: Optimization approaches for the traveling salesman problem with drone. Transp. Sci. 52(4), 965–981 (2018)

    Article  Google Scholar 

  7. Baek, D., Chen, Y., Chang, N., Macii, E., Poncino, M.: Energy-efficient coordinated electric truck-drone hybrid delivery service planning. In: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive, AEIT AUTOMOTIVE 2020 (2020)

    Google Scholar 

  8. Zhu, T., Boyles, S.D., Unnikrishnan, A.: Electric vehicle traveling salesman problem with drone (2022). http://arxiv.org/abs/2201.07992

  9. Zhu, T., Boyles, S.D., Unnikrishnan, A.: Electric vehicle traveling salesman problem with drone with partial recharge policy (2022). http://arxiv.org/abs/2205.13735

  10. Kyriakakis, N.A., Stamadianos, T., Marinaki, M., Marinakis, Y.: The electric vehicle routing problem with drones: an energy minimization approach for aerial deliveries. Cleaner Logist. Supply Chain 4(March), 100041 (2022)

    Article  Google Scholar 

  11. Moshref-Javadi, M., Winkenbach, M.: Applications and Research avenues for drone-based models in logistics: a classification and review. Expert Syst. Appl. 177(March), 114854 (2021)

    Article  Google Scholar 

  12. Cuda, R., Guastaroba, G., Speranza, M.: A survey on two-echelon routing problems. Comput. Oper. Res. 55, 185–199 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  13. Ball, M.O.: Heuristics based on mathematical programming. Surv. Oper. Res. Manage. Sci. 16(1), 21–38 (2011)

    Google Scholar 

  14. Martí, R., Pardalos, P.M., Resende, M.G.: Handbook of Heuristics, vol. 1–2. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-07124-4

    Book  MATH  Google Scholar 

  15. Archetti, C., Speranza, M.G.: A survey on matheuristics for routing problems. EURO J. Comput. Optim. 2(4), 223–246 (2014). https://doi.org/10.1007/s13675-014-0030-7

    Article  MATH  Google Scholar 

  16. Dell’Amico, M., Montemanni, R., Novellani, S.: Drone-assisted deliveries: new formulations for the flying sidekick traveling salesman problem. Optim. Lett. 15(5), 1617–1648 (2019). https://doi.org/10.1007/s11590-019-01492-z

    Article  MathSciNet  MATH  Google Scholar 

  17. Schneider, M., Stenger, A., Goeke, D.: The electric vehicle-routing problem with time windows and recharging stations. Transp. Sci. 48(4), 500–520 (2014)

    Article  Google Scholar 

  18. Applegate, D.L., et al.: Certification of an optimal TSP tour through 85,900 cities. Oper. Res. Lett. 37(1), 11–15 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  19. Gomez-Lagos, J., Candia-Vejar, A., Encina, F.: A new truck-drone routing problem for parcel delivery services aided by parking lots. IEEE Access 9, 11 091–11 108 (2021)

    Google Scholar 

  20. Es Yurek, E., Ozmutlu, H.C.: A decomposition-based iterative optimization algorithm for traveling salesman problem with drone. Transp. Res. Part C: Emerg. Technol. 91(July 2017), 249–262 (2018)

    Article  Google Scholar 

  21. Kuo, R.J., Lu, S.H., Lai, P.Y., Mara, S.T.W.: Vehicle routing problem with drones considering time windows. Expert Syst. Appl. 191, 116264 (2022)

    Article  Google Scholar 

  22. Duarte, A., Sánchez-Oro, J., Mladenović, N., Todosijević, R.: Variable neighborhood descent. In: Martí, R., Pardalos, P.M., Resende, M.G.C. (eds.) Handbook of Heuristics, pp. 341–367. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-07124-4_9

    Chapter  Google Scholar 

  23. Dunning, I., Huchette, J., Lubin, M.: JuMP: a modeling language for mathematical optimization. SIAM Rev. 59(2), 295–320 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  24. Collie, S.: Renault Kangoo ZE: electric van priced from \$52,527 for private buyers. (2021). https://www.drive.com.au/news/renault-kangoo-ze-price/

  25. DJI: DJI Matrice 300 RTK (2022). https://www.dji.com/au/matrice-300/specs

  26. Randall, C.: Alpitronic’s hyperchargers pass plug & charge audit (2022). https://www.electrive.com/2022/08/05/alpitronics-hyperchargers-pass-plugcharge-audit/

  27. Meadows, D.H.: Thinking in Systems: A Primer. Chelsea Green Publishing, Hartford (2008)

    Google Scholar 

  28. LaMonaca, S., Ryan, L.: The state of play in electric vehicle charging services - a review of infrastructure provision, players, and policies. Renew. Sustain. Energy Rev. 154(November 2021), 111733 (2022)

    Article  Google Scholar 

  29. Davis, W.: Australia’s largest electric car charging network hikes prices (2022). https://www.drive.com.au/news/australias-largest-electric-car-charging-network-hikes-prices/

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Authors and Affiliations

  1. School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, 2600, Australia

    Setyo Tri Windras Mara, Saber Elsayed, Daryl Essam & Ruhul Sarker

Authors
  1. Setyo Tri Windras Mara
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  2. Saber Elsayed
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  3. Daryl Essam
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  4. Ruhul Sarker
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Corresponding author

Correspondence to Setyo Tri Windras Mara .

Editor information

Editors and Affiliations

  1. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Ana Lucia Martins

  2. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Joao C. Ferreira

  3. University of Pisa, Pisa, Italy

    Alexander Kocian

  4. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Ulpan Tokkozhina

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mara, S.T.W., Elsayed, S., Essam, D., Sarker, R. (2023). Vehicle Routing Problem for an Integrated Electric Vehicles and Drones System. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U. (eds) Intelligent Transport Systems. INTSYS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-30855-0_14

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  • DOI: https://doi.org/10.1007/978-3-031-30855-0_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30854-3

  • Online ISBN: 978-3-031-30855-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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