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By Johan Janson Olstam.

ISBN-10: 9185457515

ISBN-13: 9789185457519

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Extra info for A model for simulation and generation of surrounding vehicles in driving simulators

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During the drive to the next bus stop oncoming traffic flow is held high in order to prevent the subject from overtaking. To sum up, a scenario is a specification of the road environment and a number of scenes, including information about when and where the scenes will take place. So far we have only been discussing scenarios and scenes. What is then a driving simulator experiment? The experimental design includes the specification of how many participants that should be involved in the experiment and which scenarios that they should drive.

For instance, in Ahmed (1999) and later in Toledo et al. (2005) critical gaps are assumed to follow lognormal distributions. The models in Gipps (1986) and Hidas (2002) are based on a similar but to some extent different approach. Instead of looking at the available and critical gap, a critical deceleration rate is used. In Gipps (1986) a car-following model, namely the model in Gipps (1981), were used to calculate the deceleration rate needed to change lane into the available gap. This deceleration rate was compared to an acceptable deceleration rate.

Driving behavior varies, both between drivers and within a driver. This is usually modeled by using behavioral models that includes stochastic parts; either by including stochastic functions in the actual behavioral models or using stochastic functions when assigning different driving characteristics, see Chapter 2. Using stochastic simulation of ambient vehicles will lead to that the participants will experience different situations at a micro level, depending on how they drive. The meaning of the Stochastic traffic – Driving simulator dilemma is, consequently, that stochastic simulation of ambient vehicles will increase the realism in the driving simulator but it will at the same time increase the variation in test conditions, at least at the micro-level, between the participants.

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A model for simulation and generation of surrounding vehicles in driving simulators by Johan Janson Olstam.

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