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Developing of a Dri...
Developing of a Driver Model for Vehicle Testing
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- Jansson, Andreas (author)
- Statens väg- och transportforskningsinstitut,Fordonsteknik och simulering, FTS,Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS
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- Olsson, Erik (author)
- Statens väg- och transportforskningsinstitut,Fordonsteknik och simulering, FTS,Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS
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- Linder, Jonas (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Hjort, Mattias, 1972- (author)
- Statens väg- och transportforskningsinstitut,Fordonsteknik och simulering, FTS,Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS
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(creator_code:org_t)
- 2014
- 2014
- English.
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In: Proceedings of the 14th International Symposium on Advanced Vehicle Control (AVEC), Tokyo, September 2014..
- Related links:
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https://urn.kb.se/re...
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Abstract
Subject headings
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- There is today no established automated method for testing vehicles or tyres, and the most common option is using professional drivers for this purpose. The tests are supposed to be fair and repeatable, which means using human drivers for these kinds of vehicle testing is not an option. Using a steering robot modelled to drive as a human is therefore preferable. The approach described in this paper shows how a driver model can be created by using a control algorithm based on gathered data from human drivers performing double lane change (DLC) manoeuvres in a simulator. The implemented controller shows how human drivers’ behaviors can be captured using control theory.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
Keyword
- Steering (process)
- Driver
- Mathematical model
- Behaviour
- Robot
- Development
- 841 Road: Road user behaviour
- 841 Road: Road user behaviour
- 911 Road: Components of the vehicle
- 911 Road: Components of the vehicle
Publication and Content Type
- ref (subject category)
- kon (subject category)
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