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.

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