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Physical enhanced residual learning (PERL) framework for vehicle trajectory prediction

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Physical enhanced residual learning (PERL) framework for vehicle trajectory prediction

Keke Long et al · Tsinghua University Press · 2025 · ISSN 2772-4247

While physics models for predicting system states can reveal fundamental insights owing to their parsimonious structure, they may not always yield the most accurate predictions, particularly for complex systems. As an al...

LCC LCC:Transportation engineeringIdioma eng

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Customized recursive model for drivers’ navigation compliance behaviors under abnormal events

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Customized recursive model for drivers’ navigation compliance behaviors under abnormal events

Kaijie Zou et al · Tsinghua University Press · 2025 · ISSN 2772-4247

In recent years, the resilience of road traffic during abnormal events has drawn considerable attention. Intelligent navigation systems, which proactively guide drivers along optimal routes in such situations, are viewed...

LCC LCC:Transportation engineeringIdioma eng

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