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Results from the analysis and input to the development and validation of the statistical models
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0001-9635-5233
Swedish National Road and Transport Research Institute, Traffic and road users, Traffic safety, society and road-user.ORCID iD: 0000-0003-4680-4795
Swedish National Road and Transport Research Institute, Traffic and road users, Traffic safety, society and road-user.ORCID iD: 0000-0002-9164-9221
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.
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2011 (English)Report (Other academic)
Abstract [en]

The aim of Deliverable 5.1 of the ITERATE project is to present results of analyses made of the data collected in the ITERATE WP4 driving simulator experiments. The ITERATE WP4 driving simulator experiments consisted of train and car driving experiments carried out on a portable car/train driving simulator platform and in full scale car and train driving simulators. The analyses conducted and presented in this deliverable consist of hypothesis testing, cluster analysis and development of a procedure for estimation of parameters of relationships in the WP6 UMD simulation model. Findings from the analyses show that country was found to be an important factor in both the car and train driving experiment. Significant effects of the factor workload were also established in many of the events analysed. The conclusion of comparisons between the data collected in the portable and full scale simulators is that the ITERATE portable driving simulator platform is a suitable tool to studying underlying factors controlling driver behaviour at least for the car diving. However, there were differences between the portable and full scale train simulators. These differences have to be considered in later stages of the project. The next step within the ITERATE project is to estimate relevant relationships in the WP6 UMD simulation model based on the findings of the analyses presented in this deliverable. The analyses presented will also be important as inspiration for other studies outside of the present project with the ITERATE driving simulator dataset as an important source of data.

Place, publisher, year, edition, pages
Linköping: VTI , 2011. , 91 p.
Series
ITERATE - IT for Error Remediation And Trapping Emergencies, D 5.1
Keyword [en]
Driving (veh), Simulator (driving), Experiment, Driver, Behaviour, Driver assistance system, Intelligent speed adaptation, Collision avoidance system, Statistics, Analysis (math), Variance analysis, Car, Train
National Category
Vehicle Engineering
Research subject
Road: Vehicles and vehicle technology, Road: ITS och vehicle technology; Road: Traffic safety and accidents, Road: Road user behaviour; Railway: General works, surveys, comprehensive works, Railway: Safety
Identifiers
URN: urn:nbn:se:vti:diva-5238OAI: oai:DiVA.org:vti-5238DiVA: diva2:674070
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2017-03-30Bibliographically approved

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CiteExportLink to record
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