326 citations · 1.2k across the 59 of their papers we have counts for
11 papers · 1 filter
Driver Heterogeneity in Willingness to Give Control to Conditional Automation
Muhammad Sajjad Ansar, Nael Alsaleh, Bilal Farooq
The driver's willingness to give (WTG) control in conditionally automated driving is assessed in a virtual reality based driving-rig, through their choice to give away driving cont…
Ordered-logit pedestrian stress model for traffic flow with automated vehicles
Kimia Kamal, Bilal Farooq, Mahwish Mudassar +1
An ordered-logit model is developed to study the effects of Automated Vehicles (AVs) in the traffic mix on the average stress level of a pedestrian when crossing an urban street at…
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality
Mahwish Mudassar, Arash Kalatian, Bilal Farooq
Level of emotional arousal of one's body changes in response to external stimuli in an environment. Given the risks involved while crossing streets, particularly at unsignalized mi…
A context-aware pedestrian trajectory prediction framework for automated vehicles
Arash Kalatian, Bilal Farooq
With the unprecedented shift towards automated urban environments in recent years, a new paradigm is required to study pedestrian behaviour. Studying pedestrian behaviour in futuri…
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…
Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads
Bilal Farooq, Elisabetta Cherchi, Anae Sobhani
Stated preference experiments have been known to suffer from the lack of realism. This issue is particularly visible when the scenario doesn't have a well understood prior referenc…