29 citations · 38 across the 15 of their papers we have counts for
7 papers · 1 filter
Applications of brain imaging methods in driving behaviour research
Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq +5
Applications of neuroimaging methods have substantially contributed to the scientific understanding of human factors during driving by providing a deeper insight into the neuro-cog…
Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
Arash Kalatian, Bilal Farooq
To ensure pedestrian friendly streets in the era of automated vehicles, reassessment of current policies, practices, design, rules and regulations of urban areas is of importance.…
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis
Arash Kalatian, Bilal Farooq
Pedestrian's road crossing behaviour is one of the important aspects of urban dynamics that will be affected by the introduction of autonomous vehicles. In this study we introduce…
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application
Arash Kalatian, Anae Sobhani, Bilal Farooq
This paper analyzes the distracted pedestrians' waiting time before crossing the road in three conditions: 1) not distracted, 2) distracted with a smartphone and 3) distracted with…
Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment
Shadi Djavadian, Bilal Farooq, Rafael Vasquez +1
Recently, we developed a dynamic distributed end-to-end vehicle routing system (E2ECAV) using a network of intelligent intersections and level 5 CAVs (Djavadian & Farooq, 2018). Th…
Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality
Anae Sobhani, Bilal Farooq
A novel head-mounted virtual immersive/interactive reality environment (VIRE) is utilized to evaluate the behaviour of participants in three pedestrian road crossing conditions whi…