{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T13:05:38Z","timestamp":1776085538439,"version":"3.50.1"},"reference-count":10,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T00:00:00Z","timestamp":1775952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>This paper describes the benchmark dataset for the electric vehicle routing problem with time windows. It is designed to facilitate the large-scale and reproducible evaluation of routing approaches under diverse charging scenarios. It is an extension of the Homberger 1000-customer vehicle-routing benchmark dataset through the incorporation of computationally derived charging-station data. For the 60 base instances included in the dataset, charging-station locations are randomly generated within the customer-coordinate bounds, and two variants are provided, resulting in 120 benchmark problems used in the validation and baseline analyses. A normalized local customer-density score is derived for each station. It is used to determine charging rates and log-normal parameters for prices and waiting times. Two variants are included in the dataset. Variant A maintains the original customer time-window constraints, while Variant B relaxes customer due dates based on the distance from the depot, subject to the depot closing time. The dataset is complemented by instance files, station attributes, parameters, and scripts. It also includes the results of feasibility tests, baseline solver tests, difficulty analyses, and sensitivity tests. These results show that the benchmark includes both easier and harder instance classes under different charging settings. Overall, the dataset is intended to support its use as a reproducible benchmark.<\/jats:p>","DOI":"10.3390\/data11040083","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T11:38:26Z","timestamp":1776080306000},"page":"83","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Electric Vehicle Routing with Time Windows and Heterogeneous Charging-Station Attribute Dataset"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8507-8248","authenticated-orcid":false,"given":"Ayoub","family":"Hanif","sequence":"first","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco"},{"name":"Computer Science, Artificial Intelligence and Cyber Security Laboratory (2IACS), ENSET, University Hassan II of Casablanca, Mohammedia 28830, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meryem","family":"Abid","sequence":"additional","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3938-3566","authenticated-orcid":false,"given":"Mohamed","family":"Tabaa","sequence":"additional","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassna","family":"Bensag","sequence":"additional","affiliation":[{"name":"Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco"},{"name":"Computer Science, Artificial Intelligence and Cyber Security Laboratory (2IACS), ENSET, University Hassan II of Casablanca, Mohammedia 28830, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Youssfi","sequence":"additional","affiliation":[{"name":"Computer Science, Artificial Intelligence and Cyber Security Laboratory (2IACS), ENSET, University Hassan II of Casablanca, Mohammedia 28830, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"500","DOI":"10.1287\/trsc.2013.0490","article-title":"The electric vehicle-routing problem with time windows and recharging stations","volume":"48","author":"Schneider","year":"2014","journal-title":"Transp. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"107650","DOI":"10.1016\/j.cie.2021.107650","article-title":"The electric vehicle routing problem and its variations: A literature review","volume":"161","author":"Dewil","year":"2021","journal-title":"Comput. Ind. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"111567","DOI":"10.1016\/j.rser.2021.111567","article-title":"Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption","volume":"151","author":"Xiao","year":"2021","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1287\/trsc.2015.0646","article-title":"Goods distribution with electric vehicles: Review and research perspectives","volume":"50","author":"Pelletier","year":"2016","journal-title":"Transp. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.trb.2017.02.004","article-title":"The electric vehicle routing problem with nonlinear charging function","volume":"103","author":"Montoya","year":"2017","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.trc.2016.01.013","article-title":"Partial recharge strategies for the electric vehicle routing problem with time windows","volume":"65","author":"Keskin","year":"2016","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_7","unstructured":"(2026, March 09). SINTEF TOP. VRPTW Benchmark Instances: 1000 Customers, Available online: https:\/\/www.sintef.no\/projectweb\/top\/vrptw\/1000-customers\/."},{"key":"ref_8","first-page":"35","article-title":"A parallel two-phase metaheuristic for routing problems with time windows","volume":"18","author":"Gehring","year":"2001","journal-title":"Asia-Pac. J. Oper. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1287\/opre.35.2.254","article-title":"Algorithms for the vehicle routing and scheduling problems with time window constraints","volume":"35","author":"Solomon","year":"1987","journal-title":"Oper. Res."},{"key":"ref_10","unstructured":"Hanif, A., Abid, M., Tabaa, M., Bensag, H., and Mohamed, Y. (2026). EVRPTW Benchmark Dataset with Heterogeneous Charging Stations and Two Time-Window Variants. MDPI DATA (v3.0), Zenodo."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/11\/4\/83\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:28:36Z","timestamp":1776083316000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/11\/4\/83"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":10,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["data11040083"],"URL":"https:\/\/doi.org\/10.3390\/data11040083","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,12]]}}}