Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses

The increasing rate of road accidents worldwide results not only in significant loss of life but also imposes billions financial burdens on societies. Current research in traffic crash frequency modeling and analysis has predominantly approached the problem as classification tasks, focusing mainly o...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Fan, Zhiwen, Wang, Pu, Zhao, Yang, Zhao, Yibo, Ivanovic, Boris, Wang, Zhangyang, Pavone, Marco, Yang, Hao Frank
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Classification Datasets Ensemble learning Infrastructure Large language models Machine learning Reasoning Traffic accidents Unstructured data
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!