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2024 | OriginalPaper | Buchkapitel

Agent-Based Regional Delivery Model for Optimising Electric Commercial Vehicle Concepts

verfasst von : Igor William Santos Leal Cruz, Markus Kloock, Philipp Winkelhahn, Ludger Frerichs

Erschienen in: Dynamics in Logistics

Verlag: Springer Nature Switzerland

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Abstract

Heavy-duty battery electric commercial vehicles may be limited to short routes without a secondary power source. Therefore, concepts for commercial vehicles with fuel cell range extenders have been proposed. This paper presents an agent-based supply chain GIS model developed to simulate urban and regional freight distribution employing fleets of electric trucks equipped with fuel cell range extenders. The model was implemented in AnyLogic to simulate the transport of goods from regional distributors to urban stores. It solves a vehicle routing problem and identifies optimised routes by running a simulated annealing algorithm complemented by several heuristic methods. This model was used to optimise vehicle concepts for a particular freight distribution task. A reduction in battery capacity minimised costs directly related to the vehicles, whereas an increase in both battery and load capacity minimised fleet size. Additional power generation in the range extenders compensated for the reduction of battery capacity.

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Vorheriges Kapitel Online Assignment of a Heterogeneous Fleet in Urban Delivery

Nächstes Kapitel Shortest-Path-Based Resilience Analysis of Urban Road Networks

Wolfram, P., Lutsey, N.: Electric vehicles: literature review of technology costs and carbon emissions. Working paper 2016-14. ICCT (2016). https://theicct.org/wp-content/uploads/2021/06/ICCT_LitRvw_EV-tech-costs_201607.pdf

Hoekstra, A.: The underestimated potential of battery electric vehicles to reduce emissions. Joule 3(6), 1412–1414 (2019). https://doi.org/10.1016/j.joule.2019.06.002CrossRef

Xu, L., Yilmaz, H.Ü., Wang, Z., Poganietz, W.R., Jochem, P.: Greenhouse gas emissions of electric vehicles in Europe considering different charging strategies. Transp. Res. Part D: Transp. Environ. 87, 102534 (2020). https://doi.org/10.1016/j.trd.2020.102534

Bethoux, O.: Hydrogen fuel cell road vehicles and their infrastructure: an option towards an environmentally friendly energy transition. Energies 13(22), 6132 (2020). https://doi.org/10.3390/en13226132CrossRef

Pardhi, S., Chakraborty, S., Tran, D.D., El Baghdadi, M., Wilkins, S., Hegazy, O.: A review of fuel cell powertrains for long-haul heavy-duty vehicles: technology, hydrogen, energy and thermal management solutions. Energies 15(24), 9557 (2022). https://doi.org/10.3390/en15249557CrossRef

Puma-Benavides, D.S., Izquierdo-Reyes, J., Calderon-Najera, J.D.D., Ramirez-Mendoza, R.A.: A systematic review of technologies, control methods, and optimization for extended-range electric vehicles. Appl. Sci. 11(15), 7095 (2021). https://doi.org/10.3390/app11157095CrossRef

Tran, M.K., et al.: A review of range extenders in battery electric vehicles: current progress and future perspectives. World Electr. Veh. J. 12(2), 54 (2021). https://doi.org/10.3390/wevj12020054CrossRef

Sopha, B.M., Siagian, A., Asih, A.M.S.: Simulating dynamic vehicle routing problem using agent-based modeling and simulation. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1335–1339. IEEE (2016). https://doi.org/10.1109/IEEM.2016.7798095

Alho, A., Bhavathrathan, B.K., Stinson, M., Gopalakrishnan, R., Le, D.T., Ben-Akiva, M.: A multi-scale agent-based modelling framework for urban freight distribution. Transp. Res. Procedia 27, 188–196 (2017). https://doi.org/10.1016/j.trpro.2017.12.138CrossRef

10.

El Raoui, H., Oudani, M., Alaoui, A.E.H.: ABM-GIS simulation for urban freight distribution of perishable food. In: MATEC Web of Conferences, vol. 200. EDP Sciences (2018). https://doi.org/10.1051/matecconf/201820000006

11.

El Raoui, H., Oudani, M., Pelta, D., Alaoui, A.E.H., El Aroudi, A.: Vehicle routing problem on a road-network with fuzzy time windows for perishable food. In: 2019 IEEE International Smart Cities Conference (ISC2), pp. 492–497. IEEE (2019). https://doi.org/10.1109/ISC246665.2019.9071649

12.

El Raoui, H., Oudani, M., Alaoui, A.E.H.: Perishable food distribution in urban area based on real-road network graph. In: 2020 5th International Conference on Logistics Operations Management (GOL), pp. 1-6. IEEE (2020). https://doi.org/10.1109/GOL49479.2020.9314721

13.

Govindan, R., Al-Ansari, T.: Simulation-based reinforcement learning for delivery fleet optimisation in CO2 fertilisation networks to enhance food production systems. Comput. Aided Chem. Eng. 46, 1507–1512 (2019). https://doi.org/10.1016/B978-0-12-818634-3.50252-6CrossRef

14.

Samchuk, G., Kopytkov, D., Rossolov, A: Freight fleet management problem: evaluation of a truck utilization rate based on agent modeling. Commun.-Sci. Lett. Univ. Zilina 24(2), D46–D58 (2022). https://doi.org/10.26552/com.C.2022.2.D46-D58

15.

Martins-Turner, K., Grahle, A., Nagel, K., Göhlich, D.: Electrification of urban freight transport–a case study of the food retailing industry. Procedia Comput. Sci. 170, 757–763 (2020). https://doi.org/10.1016/j.procs.2020.03.159CrossRef

16.

Joubert, J.W., Fourie, P.J., Axhausen, K.W.: Large-scale agent-based combined traffic simulation of private cars and commercial vehicles. Transp. Res. Rec. 2168(1), 24–32 (2010). https://doi.org/10.3141/2168-04CrossRef

17.

Stinson, M., Auld, J., Mohammadian, A.K.: A large-scale, agent-based simulation of metropolitan freight movements with passenger and freight market interactions. Procedia Comput. Sci. 170, 771–778 (2020). https://doi.org/10.1016/j.procs.2020.03.157CrossRef

18.

Holmgren, J., Dahl, M., Davidsson, P., Persson, J.A.: Agent-based simulation of freight transport between geographical zones. Procedia Comput. Sci. 19, 829–834 (2013). https://doi.org/10.1016/j.procs.2013.06.110CrossRef

19.

Holmgren, J., Ramstedt, L., Davidsson, P., Edwards, H., Persson, J.A.: Combining macro-level and agent-based modeling for improved freight transport analysis. Procedia Comput. Sci. 32, 380–387 (2014). https://doi.org/10.1016/j.procs.2014.05.438CrossRef

20.

De Bok, M., Tavasszy, L.: An empirical agent-based simulation system for urban goods transport (MASS-GT). Procedia Comput. Sci. 130, 126–133 (2018). https://doi.org/10.1016/j.procs.2018.04.021CrossRef

21.

The AnyLogic Company: AnyLogic Simulation Software. https://www.anylogic.com/. Accessed 10 Nov 2023

Titel: Agent-Based Regional Delivery Model for Optimising Electric Commercial Vehicle Concepts
verfasst von: Igor William Santos Leal Cruz
Markus Kloock
Philipp Winkelhahn
Ludger Frerichs
Verlag: Springer Nature Switzerland
Buch: Dynamics in Logistics
Print ISBN: 978-3-031-56825-1

Electronic ISBN: 978-3-031-56826-8

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-56826-8_9

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