69 citations · 110 across the 10 of their papers we have counts for
10 papers
Persona Migration and Expectation Recalibration in Generative AI Adoption: A Longitudinal Study at a State Department of Transportation
Omidreza Shoghli, Fatemeh Banani Ardecani, Amin Mohamadi Hezaveh
Generative AI tools are increasingly being piloted in public agencies, but limited evidence explains how employee acceptance changes after hands-on use. This study examines Microso…
Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones
Fatemeh Banani Ardecani, Omidreza Shoghli
This paper presents a multi-stage experimental framework that integrates immersive Virtual Reality (VR) simulations, wearable sensors, and advanced signal processing to investigate…
Electrodermal Insights into Stress Dynamics of AR-Assisted Safety Warnings in Virtual Roadway Work Zone Environments
Fatemeh Banani Ardecani, Omidreza Shoghli
This study examines stress levels in roadway workers utilizing AR-assisted multi-sensory warning systems under varying work intensities. A high-fidelity Virtual Reality environment…
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
Zeyang Zheng, Arman Hosseini, Dong Chen +2
The increasing adoption of electric scooters (e-scooters) in urban areas has coincided with a rise in traffic accidents and injuries, largely due to their small wheels, lack of sus…
Adoption of AI-Assisted E-Scooters: The Role of Perceived Trust, Safety, and Demographic Drivers
Amit Kumar, Arman Hosseini, Arghavan Azarbayjani +2
E-scooters have become a more dominant mode of transport in recent years. However, the rise in their usage has been accompanied by an increase in injuries, affecting the trust and…
Assessing the Impact of AR-Assisted Warnings on Roadway Workers' Stress Under Different Workload Conditions
Fatemeh Banani Ardecani, Amit Kumar, Omidreza Shoghli
Recent data from the Federal Highway Administration highlights an alarming increase in fatalities and injuries in roadway work zones, emphasizing the need for enhanced worker safet…
Neural Correlates of Augmented Reality Safety Warnings: EEG Analysis of Situational Awareness and Cognitive Performance in Roadway Work Zones
Fatemeh Banani Ardecani, Amit Kumar, Sepehr Sabeti +1
Despite the research and implementation efforts involving various safety strategies, protocols, and technologies, work zone crashes and fatalities continue to occur at an alarming…
Performance Evaluation of Real-Time Object Detection for Electric Scooters
Dong Chen, Arman Hosseini, Arik Smith +4
Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges. In the United States, the rise…
Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times
Sepehr Sabeti, Fatemeh Banani Ardecani, Omidreza Shoghli
Given the aging highway infrastructure requiring extensive rebuilding and enhancements, and the consequent rise in the number of work zones, there is an urgent need to develop adva…
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Vinit Katariya, Mohammadreza Baharani, Nichole Morris +2
Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation systems (ITS) applications used in management and operations. While there have be…