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Developing of a Driver Model for Vehicle Testing
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation.
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation.
Linköpings Universitet.
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation.ORCID iD: 0000-0002-8242-3407
2014 (English)In: Proceedings of the 14th International Symposium on Advanced Vehicle Control (AVEC), Tokyo, September 2014., 2014Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Steering (process), Driver, Mathematical model, Behaviour, Robot, Development
National Category
Vehicle Engineering
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour; 90 Road: Vehicles and vehicle technology, 911 Road: Components of the vehicle
Identifiers
URN: urn:nbn:se:vti:diva-7130OAI: oai:DiVA.org:vti-7130DiVA: diva2:748272
Conference
14th International Symposium on Advanced Vehicle Control (AVEC), Tokyo, September 2014.
Available from: 2014-09-18 Created: 2014-09-18 Last updated: 2016-08-22Bibliographically approved

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Output format
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