{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T12:13:54Z","timestamp":1777119234613,"version":"3.51.4"},"reference-count":20,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T00:00:00Z","timestamp":1740355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"VINNOVA for the project \u201cSolar cells on trucks for environmental friendly transport\u201d within the venture \u201cChallenge-driven innovation\u2013Phase 2 Collaboration\u201d"},{"name":"Swedish Energy Agency for the project \u201cCustomer Oriented Operations Research for Electrification (CONDORE)\u201d within the framework of the program FFI, Fordonsstrategisk Forskning och Innovation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In moving vehicles, the dominating energy losses are due to interactions with the environment: air resistance and rolling resistance. It is known that weather has a significant impact, yet there is a lack of literature showing how the wealth of openly available data from professional weather observations can be used in this context. This article will give an overview of how such data are structured and how they can be accessed in order to augment logs gained during vehicle operation or simulated trips. Two efficient algorithms for such data extraction and augmentation are discussed and several examples for use are provided, also demonstrating that some caveats do exist with respect to the source of weather data.<\/jats:p>","DOI":"10.3390\/data10030031","type":"journal-article","created":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T10:52:47Z","timestamp":1740394367000},"page":"31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Using Weather Data for Improved Analysis of Vehicle Energy Efficiency"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6301-5967","authenticated-orcid":false,"given":"Reno","family":"Filla","sequence":"first","affiliation":[{"name":"Scania CV AB, Research & Development, Granparksv\u00e4gen 10, 15148 S\u00f6dert\u00e4lje, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,24]]},"reference":[{"key":"ref_1","unstructured":"Sandberg, T. (2001). Heavy Truck Modeling for Fuel Consumption: Simulations and Measurements. [Licentiate Thesis, Link\u00f6pings Universitet]. Available online: https:\/\/urn.kb.se\/resolve?urn=urn:nbn:se:liu:diva-145953."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.4271\/2013-01-9118","article-title":"Drivetrain Energy Distribution and Losses from Fuel to Wheel","volume":"6","author":"Beulshausen","year":"2013","journal-title":"SAE Int. J. Passeng. Cars-Mech. Syst."},{"key":"ref_3","unstructured":"Filla, R. (2005). Operator and Machine Models for Dynamic Simulation of Construction Machinery. [Licentiate Thesis, Link\u00f6pings Universitet]. Available online: https:\/\/urn.kb.se\/resolve?urn=urn:nbn:se:liu:diva-4092."},{"key":"ref_4","unstructured":"Hyttinen, J. (2023). Modelling and Experimental Testing of Truck Tyre Rolling Resistance. [Ph.D. Thesis, KTH Royal Institute of Technology]. 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Available online: https:\/\/brightsky.dev."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/3\/31\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:41:42Z","timestamp":1760028102000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/10\/3\/31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,24]]},"references-count":20,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["data10030031"],"URL":"https:\/\/doi.org\/10.3390\/data10030031","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,24]]}}}