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Complexity of Traffic Interactions: Improving Behavioural Intelligence in Driving Simulation Scenarios

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Part of the book series: Understanding Complex Systems ((UCS))

Summary

This paper introduces modelling concepts and techniques for improving behavioural intelligence and realism in driving simulation scenarios. Neural Driver Agents were developed to learn and successfully replicate human lane changing behaviour based on data collected from the TRL car simulator.

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References

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© 2009 Springer-Verlag Berlin Heidelberg

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Dumbuya, A. et al. (2009). Complexity of Traffic Interactions: Improving Behavioural Intelligence in Driving Simulation Scenarios. In: Bertelle, C., Duchamp, G.H., Kadri-Dahmani, H. (eds) Complex Systems and Self-organization Modelling. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88073-8_17

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