2 citations · 4 across the 10 of their papers we have counts for
12 papers
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…
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…
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…
VRISE: A Virtual Reality Platfrom for Immersive and Interactive Surveying Education
Daniel Udekwe, Dimitrios Bolkas, Eren Erman Ozguven +2
Surveying is a core component of civil engineering education, requiring students to engage in hands-on spatial measurement, instrumentation handling, and field-based decision-makin…
Learning from the Storm: A Multivariate Machine Learning Approach to Predicting Hurricane-Induced Economic Losses
Bolin Shen, Eren Erman Ozguven, Yue Zhao +3
Florida is particularly vulnerable to hurricanes, which frequently cause substantial economic losses. While prior studies have explored specific contributors to hurricane-induced d…
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…
A Simulation-Based Framework for Leveraging Shared Autonomous Vehicles to Enhance Disaster Evacuations in Rural Regions with a Focus on Vulnerable Populations
Alican Sevim, Qian-wen Guo, Eren Erman Ozguven
Rapid advancements in autonomous vehicles (AVs) are poised to revolutionize transportation and communities, including disaster evacuations, particularly through the deployment of S…
Automated GIS-Based Framework for Detecting Crosswalk Changes from Bi-Temporal High-Resolution Aerial Images
Richard Boadu Antwi, Samuel Takyi, Alican Karaer +5
Identification of changes in pavement markings has become crucial for infrastructure monitoring, maintenance, development, traffic management, and safety. Automated extraction of r…
Computer vision-based model for detecting turning lane features on Florida's public roadways
Richard Boadu Antwi, Samuel Takyi, Kimollo Michael +5
Efficient and current roadway geometry data collection is critical to transportation agencies in road planning, maintenance, design, and rehabilitation. Data collection methods are…
A Two-Phase Safe Vehicle Routing and Scheduling Problem: Formulations and Solution Algorithms
Aschkan Omidvar, Eren Erman Ozguven, O. Arda Vanli +1
We propose a two phase time dependent vehicle routing and scheduling optimization model that identifies the safest routes, as a substitute for the classical objectives given in the…