12 papers
Forecasting the Emergence and Evolution of Crash Hotspots: A Unified Deep Learning Framework for Proactive Traffic Safety
Jingwen Zhu, Keshu Wu, Pei Li +3
Road crashes remain among the gravest threats to public safety, and preventing them is a defining task of transportation systems worldwide. Much of that harm concentrates at hotspo…
Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins
Rei Tamaru, Pei Li, Bin Ran
Traffic digital twins are powerful tools for advanced traffic management, and most systems are built on static geometric representations. However, these representations fail to cap…
An Agentic Workflow for Detecting Personally Identifiable Information in Crash Narratives
Junyi Ma, Pei Li, Rui Gan +3
Crash narratives in crash reports provide crucial contextual information for traffic safety analysis. Yet, their broader use is hindered by the presence of personally identifiable…
CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning
Rui Gan, Junyi Ma, Pei Li +4
Cooperative autonomous driving requires traffic scene understanding from both vehicle and infrastructure perspectives. While vision-language models (VLMs) show strong general reaso…
The accretion-driven eruption of the recurrent nova T Corona Borealis
Raymundo Baptista, Wagner Schlindwein, Gerardo J. M. Luna
T Corona Borealis (T CrB) is a symbiotic recurrent nova with an yr recurrence interval, the eruptions of which occur on top of a yr long high-brightness sta…
CrossTraffic: An Open-Source Framework for Reproducible and Executable Transportation Analysis and Knowledge Management
Rei Tamaru, Bin Ran
Transportation engineering often relies on technical manuals and analytical tools for planning, design, and operations. However, the dissemination and management of these methodolo…