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

Creating Cyber-Physical Future of Urban Mobility using Intelligent Technologies & Mathematics

Cybersecurity & Privacy

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

Machine Learning & Mobility

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

Smart Mobility

Distributed traffic management system with application in CAV routing, advanced on-demand transit, traffic management, & system optimization.

Urban Flux

Ubiquitous sensors network for sensing multimodal traffic in real-time for complete streets.

Virtual Reality

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

Our Team

Assistant Professor

Canada Research Chair in Disruptive Transportation and Services

Senior Postdoc

Postdoc Research Fellow

PhD Student

PhD Student

PhD Student

MEng Student

MASc Student

Mitacs Intern at CUTRIC

MASc Student

Undergraduate Research Assistant

News

Recent Publications

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. A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation 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.

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

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