Identifying the Optimal Packing and Routing to Improve Last-Mile Delivery Using Cargo Bicycles

Vitalii Naumov and Michał Pawluś
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Vitalii Naumov: Transport Systems Department, Civil Engineering Faculty, Cracow University of Technology, str. Warszawska 24, 31-155 Kraków, Poland
Michał Pawluś: Transport Systems Department, Civil Engineering Faculty, Cracow University of Technology, str. Warszawska 24, 31-155 Kraków, Poland

Energies, 2021, vol. 14, issue 14, 1-15

Abstract: Efficient vehicle routing is a major concern for any supply chain, especially when dealing with last-mile deliveries in highly urbanized areas. In this paper problems considering last-mile delivery in areas with the restrictions of motorized traffic are described and different types of cargo bikes are reviewed. The paper describes methods developed in order to solve a combination of problems for cargo bicycle logistics, including efficient packing, routing and load-dependent speed constraints. Proposed models apply mathematical descriptions of problems, including the Knapsack Problem, Traveling Salesman Problem and Traveling Thief Problem. Based on synthetically generated data, we study the efficiency of the proposed algorithms. Models described in this paper are implemented in Python programming language and will be further developed and used for solving the problems of electric cargo bikes’ routing under real-world conditions.

Keywords: cargo bicycles; last-mile logistics; MTSP; CVRP (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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