L. Barothi, Academia Tehnică Militară, D. Sava, Cătălin-Dumitru Darie, L. Cucu, I. Copae, City Insurance Expert, Asirom Insurance
{"title":"Driving Style Influence on Vehicles Performances","authors":"L. Barothi, Academia Tehnică Militară, D. Sava, Cătălin-Dumitru Darie, L. Cucu, I. Copae, City Insurance Expert, Asirom Insurance","doi":"10.32754/jmt.2018.1.07","DOIUrl":null,"url":null,"abstract":"Digital Object Identifier 10.32754/JMT.2018.1.07 39 1 Abstract—Vehicle dynamics and fuel saving performances are largely influenced by the driving style of the driver. This paper will give an account of this important aspect mentioned in specialty literature, defining some driving style assessment criteria and setting their values based on the experimental data obtained from the tests conducted on a Logan Laureate. The experimental data corresponds to 50 starting samples and 50 normal movement samples, the latter being called “nonstarting” in the paper.","PeriodicalId":315050,"journal":{"name":"Journal of Military Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Military Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32754/jmt.2018.1.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Digital Object Identifier 10.32754/JMT.2018.1.07 39 1 Abstract—Vehicle dynamics and fuel saving performances are largely influenced by the driving style of the driver. This paper will give an account of this important aspect mentioned in specialty literature, defining some driving style assessment criteria and setting their values based on the experimental data obtained from the tests conducted on a Logan Laureate. The experimental data corresponds to 50 starting samples and 50 normal movement samples, the latter being called “nonstarting” in the paper.