research
∙
04/24/2022
Ordered-logit pedestrian stress model for traffic flow with automated vehicles
An ordered-logit model is developed to study the effects of Automated Ve...
share
research
∙
11/22/2021
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality
Level of emotional arousal of one's body changes in response to external...
research
∙
10/23/2021
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
Multi-task learning is assumed as a powerful inference method, specifica...
research
∙
04/16/2021
A context-aware pedestrian trajectory prediction framework for automated vehicles
With the unprecedented shift towards automated urban environments in rec...
research
∙
02/18/2020
Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
To ensure pedestrian friendly streets in the era of automated vehicles, ...
research
∙
04/16/2019
DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis
Pedestrian's road crossing behaviour is one of the important aspects of ...
research
∙
03/28/2019
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application
This paper analyzes the distracted pedestrians' waiting time before cros...
research
∙
02/17/2019
A semi-supervised deep residual network for mode detection in Wi-Fi signals
Due to their ubiquitous and pervasive nature, Wi-Fi networks have the po...
research
∙
09/16/2018