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Implementation of Cognitive Driver Models in Microscopic Traffic Simulations
Cristea, Roland; Rulewitz, Stefan; Radusch, Ilja; Hübner, Karl; Schünemann, Björn
In order to perform microscopic traffic simulations as realistically as possible, a detailed modelling of each individual driver is essential. Currently established microscopic traffic simulators follow a rather static approach to model the driver's behaviour. Individual emotional in uences and temporarily occurring distracting factors are heavy to implement in the established state-of-the-art microscopic traffic simulators. This paper proposes a solution how emotional in uences and distracting factors can be integrated in established traffic simulation tools. For this purpose, robotlearning approaches are adapted to model the emotional state of vehicle drivers. In the end of this work, a proof of concept is done to illustrate the strength of the developed approach.
Published in: SIMUTOOLS'16 Proceedings of the 9th EAI International Conference on Simulation Tools and Techniques, EAI
