AIBullisharXiv – CS AI · 7h ago7/10
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NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
NOVA, a symbolic regression framework, discovers interpretable models of human driving behavior from 4.7 million real-world observations, achieving superior performance on car-following and lane-change prediction tasks. The research demonstrates that complex driving dynamics can be captured through compact algebraic structures that generalize across different freeway locations and driver populations.
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