Feel the Tire - Tire Influence on Driver’s Handling Assessment

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorPauwelussen, Joop, Prof., HAN University of Applied Sciences, The Netherlands
dc.contributor.authorMonsma, Saskia
dc.contributor.departmentKoneenrakennustekniikan laitosfi
dc.contributor.departmentDepartment of Engineering Design and Productionen
dc.contributor.labAutomotive Engineeringen
dc.contributor.schoolInsinööritieteiden korkeakoulufi
dc.contributor.schoolSchool of Engineeringen
dc.contributor.supervisorJuhala, Matti, Prof., Aalto University, Department of Engineering Design and Production, Finland
dc.contributor.supervisorTammi, Kari, Prof., Aalto University, Department of Engineering Design and Production, Finland
dc.date.accessioned2015-11-26T10:03:11Z
dc.date.available2015-11-26T10:03:11Z
dc.date.defence2015-11-27
dc.date.issued2015
dc.description.abstractA key question in the development of a tire is "How can this tire improve vehicle handling?" Good handling tires contribute not only to active safety of vehicles, but also to the pleasure of driving. Handling performance is largely determined by the driver. Therefore, the final and most important handling assessment of tires is done by professional test drivers driving on a handling circuit and giving their subjective opinion. This provides the tire manufacturer with the important tire handling performance, but it gives limited information on what the driver perceives as good and how his opinion is formed; the driver is still a 'black box'. Three methods, all based on field experiments, for gaining this knowledge about subjective assessments were chosen for this research. They have in common that they predict the driver's subjective assessment of tire handling, based on vehicle dynamics measurements. The differences lie in the way they derive and utilize these measurements. For method 1, the prediction is done with a General Regression Neural Network based on vehicle dynamics measurements. With this method, several limitations for using regression for tire handling can be circumvented.Method 2 focuses on the driver's workload as an indication for his subjective assessment. This method derives from the fact that the driver adapts to changing vehicle handling behavior. Method 3 also focuses on the driver but not by looking at measures from 'outside' the driver, like workload measures, but by modeling the driver behavior during closed-loop driver-vehicle simulations and looking at driver parameters 'inside' the driver (model).  The results show that all three methods can predict the driver's opinion about tire handling, based on vehicle dynamics measures. Analysis of the relevant measures for the prediction of methods 1 and 2, provides information on the 'what'-question. Likewise, method 3 provides information on the 'how'-question. In addition, drivers adapting behavior, e.g., compensating for less good handling tires by investing more effort, can be quantified with the mental workload measures. This makes them good indicators of driver's perceived tire handling behavior, even when the performance measures do not show differences. For implementation of one or more methods, only a subset of the vehicle dynamics measurements used for this research is needed. During use, the methods can be adapted to changing tire testing methods, with different measurements, handling aspects or maneuvers. When vehicle and tire models are available, these methods can also be used for virtual testing, predicting driver's opinion on tire handling. This research provides a first step in opening up the 'black box' of the driver by quantifying the driver's tire feeling. en
dc.format.extent211 + app. 65
dc.format.mimetypeapplication/pdfen
dc.identifier.isbn978-952-60-6548-9 (electronic)
dc.identifier.isbn978-952-60-6547-2 (printed)
dc.identifier.issn1799-4942 (electronic)
dc.identifier.issn1799-4934 (printed)
dc.identifier.issn1799-4934 (ISSN-L)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/18823
dc.identifier.urnURN:ISBN:978-952-60-6548-9
dc.language.isoenen
dc.opnStensson Trigell, Annika, Prof., KTH Royal Institute of Technology, Sweden
dc.opnLappi, Otto, Dr., Helsinki University, Finland
dc.publisherAalto Universityen
dc.publisherAalto-yliopistofi
dc.relation.ispartofseriesAalto University publication series DOCTORAL DISSERTATIONSen
dc.relation.ispartofseries202/2015
dc.revStensson Trigell, Annika, Prof., KTH Royal Institute of Technology, Sweden
dc.revBrookhuis, Karel, Prof., University of Groningen, The Netherlands
dc.subject.keywordtire characteristicsen
dc.subject.keywordtireen
dc.subject.keywordhandlingen
dc.subject.keywordassessmenten
dc.subject.keyworddriver modellingen
dc.subject.keyworddriver mental workloaden
dc.subject.keywordgeneral regression neural networken
dc.subject.keywordvehicleen
dc.subject.keyworddynamicsen
dc.subject.otherTransport engineeringen
dc.titleFeel the Tire - Tire Influence on Driver’s Handling Assessmenten
dc.typeG4 Monografiaväitöskirjafi
dc.type.dcmitypetexten
dc.type.ontasotDoctoral dissertation (monograph)en
dc.type.ontasotVäitöskirja (monografia)fi
local.aalto.archiveyes
local.aalto.digiauthask
local.aalto.digifolderAalto_63959
local.aalto.formfolder2015_11_26_klo_10_12

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
isbn9789526065489.pdf
Size:
12.78 MB
Format:
Adobe Portable Document Format