Arash Kalatian
Cited by
Cited by
Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning
A Kalatian, B Farooq
Transportation Research Part C: Emerging Technologies 124, 102962, 2021
A context-aware pedestrian trajectory prediction framework for automated vehicles
A Kalatian, B Farooq
Transportation Research Part C: Emerging Technologies 134, 103453, 2022
Travel Mode Detection Exploiting Cellular Network Data
A Kalatian, Y Shafahi
MATEC Web of Conferences 81, 03008, 2016
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis
A Kalatian, B Farooq
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2034-2039, 2019
Mobility Mode Detection Using WiFi Signals
A Kalatian, B Farooq
2018 IEEE International Smart Cities Conference (ISC2), 1-7, 2018
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality
M Mudassar, A Kalatian, B Farooq
arXiv preprint arXiv:2111.11492, 2021
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application
A Kalatian, A Sobhani, B Farooq
Proceedings of Pedestrian and Evacuation Dynamics 2018, 2019
A semi-supervised deep residual network for mode detection in Wi-Fi signals
A Kalatian, B Farooq
Journal of Big Data Analytics in Transportation 2 (2), 167-180, 2020
Ordered-logit pedestrian stress model for traffic flow with automated vehicles
K Kamal, B Farooq, M Mudassar, A Kalatian
2022 IEEE Intelligent Vehicles Symposium (IV), 1831-1834, 2022
Comparing and contrasting choice model and machine learning techniques in the context of vehicle ownership decisions
A Ali, A Kalatian, CF Choudhury
Transportation Research Part A: Policy and Practice 173, 103727, 2023
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
A Yazdizadeh, A Kalatian, Z Patterson, B Farooq
arXiv preprint arXiv:2110.12113, 2021
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