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Bilal Farooq
Bilal Farooq
Laboratory of Innovations in Transportation (LiTrans), Toronto Metropolitan University
Verified email at torontomu.ca - Homepage
Title
Cited by
Cited by
Year
Simulation based population synthesis
B Farooq, M Bierlaire, R Hurtubia, G Flötteröd
Transportation Research Part B: Methodological 58, 243-263, 2013
2832013
Virtual immersive reality for stated preference travel behavior experiments: A case study of autonomous vehicles on urban roads
B Farooq, E Cherchi, A Sobhani
Transportation research record 2672 (50), 35-45, 2018
1482018
Electric vehicle charging optimization to minimize marginal greenhouse gas emissions from power generation
R Tu, YJ Gai, B Farooq, D Posen, M Hatzopoulou
Applied Energy 277, 115517, 2020
1332020
A multi-layered blockchain framework for smart mobility data-markets
D Lopez, B Farooq
Transportation Research Part C: Emerging Technologies 111, 588-615, 2020
1262020
A Bayesian Approach to Detect Pedestrian Destination-‐Sequences from WiFi Signatures
A Danalet, B Farooq, M Bierlaire
Transportation Research Part C: Emerging Technologies, 2014
1242014
Hidden Markov Model-based population synthesis
I Saadi, A Mustafa, J Teller, B Farooq, M Cools
Transportation Research Part B: Methodological 90, 1-21, 2016
1182016
ResLogit: A residual neural network logit model for data-driven choice modelling
M Wong, B Farooq
Transportation Research Part C: Emerging Technologies 126, 103050, 2021
104*2021
Online political participation: Slacktivism or efficiency increased activism? Evidence from the Brazilian Ficha Limpa campaign
A Breuer, B Farooq
Evidence from the Brazilian Ficha Limpa Campaign (May 1, 2012), 2012
1042012
A macroscopic loading model for time-varying pedestrian flows in public walking areas
FS Hänseler, M Bierlaire, B Farooq, T Mühlematter
Transportation Research Part B: Methodological 69, 60-80, 2014
1022014
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
A Yazdizadeh, Z Patterson, B Farooq
IEEE Transactions on Intelligent Transportation Systems, 2019
1012019
Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality
A Sobhani, B Farooq
Transportation Research Part F: Traffic Psychology and Behaviour, 2018
1002018
A context-aware pedestrian trajectory prediction framework for automated vehicles
A Kalatian, B Farooq
Transportation Research Part C: Emerging Technologies 134, 2022
902022
Distributed classification of urban congestion using VANET
R Al Mallah, A Quintero, B Farooq
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2435-2442, 2017
892017
Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations
R Tu, L Alfaseeh, S Djavadian, B Farooq, M Hatzopoulou
Transportation Research Part D: Transport and Environment 73, 142-151, 2019
732019
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
702021
Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles
S Djavadian, R Tu, B Farooq, M Hatzopoulou
Transportation Research Part D: Transport and Environment 87, 102513, 2020
672020
An automated approach from GPS traces to complete trip information
A Yazdizadeh, Z Patterson, B Farooq
International Journal of Transportation Science and Technology 8 (1), 82-100, 2019
652019
Green Vehicle Routing Problem: State of the Art and Future Directions
S Sabet, B Farooq
IEEE Access, 2022
642022
Greenhouse gas emission prediction on road network using deep sequence learning
L Alfaseeh, R Tu, B Farooq, M Hatzopoulou
Transportation Research Part D: Transport and Environment 88, 102593, 2020
632020
Spatio-temporal analysis of on-demand transit: A case study of Belleville, Canada
I Sanaullah, N Alsaleh, S Djavadian, B Farooq
Transportation Research Part A: Policy and Practice 145, 284-301, 2021
622021
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Articles 1–20