Complexity of Traffic Interactions: Improving Behavioural Intelligence in Driving Simulation Scenarios
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.
Key wordsAI-supported simulation neural network simulators Behavioural science Psychology
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