Abstract
In this paper, according to the problem that existing driver model can’t reflect some situations in actual driving, a driver model which considers the factors such as driver’s emotion, personality and road condition is built, the emotion model is introduced when the driver is in the process of traffic jams, car following, overtaking, lane changing, emergency situation and so on, the influence of the emotion state, driving destination and so on to the driving decision is analyzed, in addition, the driver’s states are detected by a camera, incentive or warning strategies will be given out according to the situation. At last, a virtual vehicle simulation is experimented based on this model.
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Xiao, Q., Hu, C., Ding, G. (2017). A Driver Model Based on Emotion. In: Tan, Y., Takagi, H., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10386. Springer, Cham. https://doi.org/10.1007/978-3-319-61833-3_64
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DOI: https://doi.org/10.1007/978-3-319-61833-3_64
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