5 citations · 6 across the 3 of their papers we have counts for
3 papers
Learning collision risk proactively from naturalistic driving data at scale
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh +1
Accurately and proactively alerting drivers or automated systems to emerging collisions is crucial for road safety, particularly in highly interactive and complex urban environment…
Structure-preserving contrastive learning for spatial time series
Yiru Jiao, Sander van Cranenburgh, Simeon Calvert +1
The effectiveness of neural network models largely relies on learning meaningful latent patterns from data, where self-supervised learning of informative representations can enhanc…
Spatial and Temporal Characteristics of Freight Tours: A Data-Driven Exploratory Analysis
Ali Nadi, Lóránt Tavasszy, J. W. C. van Lint +1
This paper presents a modeling approach to infer scheduling and routing patterns from digital freight transport activity data for different freight markets. We provide a complete m…