Dataset for the electric capacitated traveling salesman problem

Regarding climate change and energy resource problems, cargo movement in the urban environment is essential to shift to a more sustainable mode. As cities seek to slash transport-related emissions and tackle traffic congestion, the cargo bike is showing itself to be an attractive and versa -tile last-mile delivery alternative. To this end, this article presents a series of datasets for the Electric Capacitated Trav-elling Salesman Problem (EC-TSP). This problem has been built for modeling and solving the e-cargo bike parcel dis-tribution problem in urban environments. For the design of these datasets, real geographical data have been used that are in the city centers of Athens, Thessaloniki, Patra, and Lar-isa in Greece. These datasets have been used for the assess-ment of e-cargo bikes versus typical delivery vans in terms of operational efficiency and CO2e emissions. The entire bench-mark is composed of 9 instances comprised of 14-29 nodes each. The datasets are publicly available for use and modifi-cation.& COPY; 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )