Tu, R., Alfaseeh, L., Djavadian, S., Farooq, B., Hatzopoulou, M., 2019. Quantifying the impacts of dynamic control in connected and automated vehicles on greenhouse gas emissions and urban NO2 concentrations.

Yazdizadeh, A., Patterson, Z., Farooq, B., 2019. Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. arXiv preprint arxiv:1904.08933.

Alizadeh, H., Farooq, B., Morency C., Saunier, N., 2019. Frequent Versus Occasional Drivers: A Hybrid Route Choice Model. arXiv preprint arxiv:

Beaulieu, A., Farooq, B., 2019. A Dynamic Mixed Logit Model with Agent Effect for Pedestrian Next Location Choice Using Ubiquitous Wi-Fi Network Data. Journal of Big Data Analytics in Transportation. Forthcoming.

Badu-Marfo, G., Farooq, B., Patterson, Z., 2019. Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. Transportation research record, forthcoming.

Badu-Marfo, G., Farooq, B., Patterson, Z., 2019. A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. Journal of Big Data Analytics in Transportation. Forthcoming.

Yazdizadeh, A., Patterson, Z., Farooq, B., 2019. Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. arXiv preprint arxiv:1902.10768.

Kalatian, A., Farooq, B., 2019. A semi-supervised deep residual network for mode detection in Wi-Fi signals. arXiv preprint arXiv:1902.06284.

Djavadian, S., Farooq, B., Vasquez, R. and Yip, G., 2019. Chapter 30: Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment. Mapping the Travel Behavior Genome: The Role of Disruptive Technologies, Automation, and Experimentation. preprint arXiv:1901.07151.

Wong, M., Farooq, B., 2019. A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data. arXiv preprint arXiv:1901.06415.

Al Mallah, R., Quintero, A., Farooq, B., 2019. Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. IEEE Transaction on Intelligent Transportation Systems.


Wong M., Farooq B., Bilodeau, G.-A., 2018. Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling. Journal of Choice Modelling 42, pp. 152-168.

Farooq, B., Cherchi, E. and Sobhani, A., 2018. Virtual immersive reality for stated preference travel behavior experiments: a case study of autonomous vehicles on urban roads. Transportation research record, 2672(50), pp.35-45.

Wong, M. and Farooq, B., 2018. Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 749-754.