Centre for Urban Innovation @ Ryerson University
Laboratory of Innovations in Transportation
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What We Do

Current projects

Smart Mobility

Novel distributed end-to-end connected and autonomous vehicles routing system with applications in advanced on-demand transit, traffic management, and system optimization.

Discrete choice modelling & Machine Learning

Developing data-driven model structure and estimation methods for discrete choice analysis.

Cybersecurity & Privacy

Blockchain framework for Smart Mobility Data-Markets (BSMD) with a focus on cybersecurity and personal privacy.

Virtual Reality

Virtual Immersive Reality Environment (VIRE) for travel behaviour experiments.

Our Team

Assistant Professor

Canada Research Chair in Disruptive Transportation and Services

PhD Student

PhD Student

PhD Student

MSc Student

MSc Student

MASc Student

News

Publications

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.

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., 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.

Contact us

Office

Centre for Urban Innovation
CUI-330, Ryerson University
44 Gerrard Street East, Toronto ON M5G 1G3, Canada

416 979-5000 ext 556456

bilal.farooq@ryerson.ca

@litrans_lab