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

Postdoc Research Fellow

Senior Postdoc

PhD Student

PhD Student

PhD Student

Undergraduate Research Assistant

Undergraduate Research Assistant

Undergraduate Research Assistant

Undergraduate Research Assistant

Postdoc Research Fellow

Postdoc, 2020

MASc Student

MASc Graduate, 2019

MASc Student

MASc Graduate, 2019

MEng Student

MEng Graduate, 2019

Postdoc Research Fellow

Postdoc, 2019

Visiting graduate student

Visiting researcher, 2019

News

Recent Publications

Benarbia, T., Axhausen, K., Farooq, B., 2020. Modelling, Relocation and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri nets framework. .

López, D., Farooq, B., 2020. A multi-layered blockchain framework for smart mobility data-markets. arXiv preprint arXiv:1906.06435.

Alfaseeh, L., Farooq, B., 2020. Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook.

Wong, M., Farooq, B., 2020. A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data.

Farooq, B., Djavadian, S., 2019. Distributed Traffic Management System with Dynamic End-to-End Routing.

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.

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