9 papers
Automatic Network Planning with Digital Radio Twin
Xiaomeng Li, Yuru Zhang, Qiang Liu +5
Network planning seeks to determine base station parameters that maximize coverage and capacity in cellular networks. However, achieving optimal planning remains challenging due to…
TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting
Lincan Li, Eren Erman Ozguven, Yue Zhao +3
Accurate typhoon track forecasting is crucial for early system warning and disaster response. While Transformer-based models have demonstrated strong performance in modeling the te…
Infrastructure Sensor-enabled Vehicle Data Generation using Multi-Sensor Fusion for Proactive Safety Applications at Work Zone
Suhala Rabab Saba, Sakib Khan, Minhaj Uddin Ahmad +5
Infrastructure-based sensing and real-time trajectory generation show promise for improving safety in high-risk roadway segments such as work zones, yet practical deployments are h…
Infrastructure-enabled risk assessment of hazardous road conditions on rural roads during inclement weather
Suhala Rabab Saba, Sagar Dasgupta, Mizanur Rahman +5
Rural roadways often expose Commercial Motor Vehicle (CMV) drivers to hazardous conditions, such as heavy fog, rain, snow, black ice, and flash floods, many of which remain unrepor…
Historical Prediction Attention Mechanism based Trajectory Forecasting for Proactive Work Zone Safety in a Digital Twin Environment
Minhaj Uddin Ahmad, Mizanur Rahman, Alican Sevim +5
Proactive safety systems aim to mitigate risks by anticipating potential conflicts between vehicles and enabling early intervention to prevent work zone-related crashes. This study…
Lessons Learned from the Real-World Deployment of Multi-Sensor Fusion for Proactive Work Zone Safety Application
Minhaj Uddin Ahmad, Sagar Dasgupta, Mizanur Rahman +7
Proactive safety systems that anticipate and mitigate traffic risks before incidents occur are increasingly recognized as essential for improving work zone safety. Unlike tradition…