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Integration of mathematical and physical simulation to calibrate car-following behaviour of unimpaired and impaired drivers

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Traffic patterns can be modelled by mathematical microsimulation. People can be modelled by driving simulators that resemble flight simulators. This paper shows how driver car-following behaviour from driving simulators can be transferred to traffic microscopic simulation. We capture driver behaviour through physical driver simulator experiments. Subjects holding cell phone conversations while driving simulators are impaired initiating delays. A Genetic Algorithm formulation optimises the car-following parameters. The findings show that psychological experiments can be replicated, in general, in a traffic microsimulation tool. We report that traffic microsimulators model unimpaired drivers more accurately than impaired drivers.

Keywords: car-following models, microscopic simulation, driver simulator, impaired driving, cell phones, calibration, genetic algorithms, GA, single-objective optimisation, multi-objective optimisation, driver behaviour, traffic microsimulation

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