No AI summary available for this article.
Why It Matters
Driver behavior is heterogeneous, context-dependent, and changes over time, and these properties shape the traffic phenomena we observe.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
Driver behavior is heterogeneous, context-dependent, and changes over time, and these properties shape the traffic phenomena we observe. Most models, however, fix in advance which behavioral variables interact and how. Behavior outside that form is absorbed as noise, while models flexible enough to capture it tend to lose interpretability. We introduce a quantum-inspired representation of driver behavior that combines properties usually treated separately or in part: it is continuous, probabilistic, context-dependent, history-dependent, and represents interactions among behavioral variables as...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2608.25907v1 · Indexed 19 days ago