MPCFormer explicitly models multi-vehicle social interaction dynamics via physics-informed discrete state-space and Transformer-learned coefficients, yielding 0.86m ADE over 5s and 94.67% planning success with near-zero collisions in closed-loop tests.
A critical evaluation of the Next Generation Simulation (NGSIM) vehicle trajectory dataset
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NOVA applies symbolic regression to 4.7 million NGSIM observations to identify a two-term car-following model (RMSE 1.376 m/s²) and a lane-change model (67.4% balanced accuracy) that outperform recent baselines and transfer zero-shot between sites.
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NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity
NOVA applies symbolic regression to 4.7 million NGSIM observations to identify a two-term car-following model (RMSE 1.376 m/s²) and a lane-change model (67.4% balanced accuracy) that outperform recent baselines and transfer zero-shot between sites.