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  • 1.
    Andersson, Anders
    et al.
    Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS, Linköping, Sweden.
    Kharrazi, Sogol
    Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS, Linköping, Sweden.
    Lind, Simon
    Statens väg- och transportforskningsinstitut, Fordonsteknik och simulering, FTS, Linköping, Sweden.
    Myklebust, Andreas
    Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, The Institute of Technology.
    Parameterization procedure of a powertrain model for a driving simulator2016In: Advances in Transportation Studies, ISSN 1824-5463, Vol. 1, p. 99-112Article in journal (Refereed)
    Abstract [en]

    The automotive industry is facing a major challenge to reduce environmental impacts. As a consequence, the increasing diversity of powertrain configurations put a demand on testing and evaluation procedures. One of the key tools for this purpose is simulators. In this paper a powertrain model and a procedure for parameterizing it, using chassis dynamometers and a developed pedal robot are presented. The parameterizing procedure uses the on-board diagnostics of the car and does not require any additional invasive sensors.

    Thus, the developed powertrain model and parameterization procedure provide a rapid non- invasive way of modelling powertrains of test cars. The parameterizing procedure has been used to model a front wheel drive Golf V with a 1.4L multi-fuel engine and a manual gearbox. The achieved results show a good match between simulation results and test data. The powertrain model has also been tested in real-time in a driving simulator.

  • 2.
    Chee, D. Y. T.
    et al.
    Curtin University, Perth, Western Australia.
    Lee, H. C.
    Curtin University, Perth, Western Australia.
    Lee, A. H.
    Curtin University, Perth, Western Australia.
    Falkmer, Torbjörn
    Linköping University, Department of Medical and Health Sciences, Rehabilitation Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Anaesthetics, Operations and Specialty Surgery Center, Pain and Rehabilitation Center. Curtin University, Perth, Western Australia.
    Performance of drivers with Parkinson’s Disease under the effect of cognitive overloading: insinuation for assessment and training2013In: Advances in Transportation Studies, ISSN 1824-5463, no A29, p. 5-18Article in journal (Refereed)
    Abstract [en]

    Background: Signs and symptoms of Parkinson’s Disease (PD) include a combination of slowness of movement, increased tone, tremor and loss of postural reflexes. Cognitive changes and dementia can also be found in older people affected by PD. The excessive expenditure of cerebral resources in multitasks can cause cognitive overload resulting in deterioration of functional performance. Previous research has highlighted that the balance of cognitive load is essential for safe driving; however, this has not yet been researched in relation to people with PD. Coupled with mental inflexibility and sluggish reasoning, PD drivers exposed to demanding traffic scenarios may reach dangerous levels of cognitive overload. The present study employed computation of arithmetic sums as secondary task to investigate the effect of cognitive overloading on older PD drivers.

    Methodology: A pre-post case-control study design was implemented. Convenience sample of 28 mild to moderate stages of PD drivers and 30 age-matched healthy controls were recruited and their motor and cognitive functions were assessed using the Digit Vigilance Test (DVT), Perdue Pegboard, Symbol Digit Modalities Test (SDMT) and Trail-Making Test- Part A and B. Participants were then assessed twice using a driving simulator: with and without exposure to the secondary task.

    Results: When compared with healthy controls, PD drivers scored lower in motor and cognitive psychometric assessments and performed less competently in driving assessments. However, PD drivers drove more cautiously and took more time to complete all the driving tests when compared with the healthy counterparts. With the distraction of the secondary task, both the performance of PD drivers and controls declined, but PD drivers to a greater extent. The Trail-Making Test-B was found to be valuable in predicting the overall performance of PD drivers. The ability of PD participants was observed to have significant deterioration in driving through T-junctions and roundabouts.

    Conclusion: PD drivers should avoid cognitive overload caused by, for example, multitasking while driving. Cognitive overload may compound the problem of indecisiveness of the drivers; leading to inconvenience or dangers to other road users. Training of PD drivers should emphasize intersection manoeuvre management.

     

  • 3.
    Tapani, Andreas
    Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
    Traffic simulation modelling of driver assistance systems2011In: Advances in Transportation Studies, ISSN 1824-5463, Vol. 23, p. 41-50Article in journal (Refereed)
    Abstract [en]

    New in-vehicle driver assistance systems are currently introduced at a rapid pace. To exploit the fullpotential of these systems, it is necessary to estimate the systems future impact already at early stages of thesystem development process. This paper gives an introduction to the use of microscopic traffic simulation foranalysis and evaluation of the impacts of driver assistance systems. Application of traffic simulation foranalysis of driver assistance systems is exemplified by studies of an overtaking assistant and of adaptivecruise control.

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