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MOVE: The Mobility Innovation Centre

Overview

The Mobility Innovation Centre (MOVE), at York University’s Lassonde School of Engineering, taken an interdisciplinary approach to addressing mobility-related research challenges in Canada and beyond. It draws on the expertise of leading researchers from across science and engineering disciplines, developing innovative mobility solutions.

MOVE conducts world-leading research to create sustainable, connected, autonomous transportation systems, making transportation systems safer, more comfortable, and accessible. All while integrating these new technologies safely and efficiently into society.

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Mission Statement

To pursue world-class, cross-section research and training in the development and advancement of disruptive mobility technologies for improving our mobility in the future.

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Message From the Director, Professor Gunho Sohn

“MOVE is a Lassonde-based research unit is dedicated to facilitating interdisciplinary research to address the contemporary evolution of mobility technologies, consumer usage patterns and mobility infrastructure. It builds on strong existing interdisciplinary networks with researchers who have proven track records in their respective fields to develop innovative research programs to tackle pressing issues in the area of mobility.

MOVE consists of 21 faculty members from all departments at Lassonde, including a range of established and early career researchers. Together, we investigate important research topics in today’s society:

(1) Autonomous Mobility aims to develop novel data-enabled aerial and ground autonomous vehicles for safer, robust, shared, high-performance and long-term autonomy in real dynamic environments to support various transportation modes and first-/last-mile services.

(2) Sustainable Mobility aims to develop novel sustainable solutions to safety challenges in mobility, including road traffic, bicycle riders, pedestrian injuries, mobility health and comforts, using big mobility data. Also, to develop innovative modelling, assessment, planning and control techniques to facilitate seamless and cost-effective adoption of electrification of transportation (E-transport) systems.

(3) Mobility Analytics aims to develop novel Artificial Intelligence (AI) technologies for evaluating, monitoring, understanding and predicting the patterns of personal mobility from the massive amount of mobility data, and propose efficient management strategies, policy and regulations related to data ownership, privacy and security.

(4) IoT, Shared and Connected Mobility aims to develop novel modelling, design and optimization methods of large-scale, beyond 5G multi-band wireless networks including aerial, satellite communication networks, and IoT. All to develop scalable and robust AI-enabled resource management systems in software-defined networks for ultra-reliable and low-latency communication for vehicular networks.


(5) AR/VR Mobility aims to develop novel technologies for efficiently reconstructing, simulating, and augmenting high-fidelity real environments with dynamic objects at large-scale for developing data-enabled autonomous vehicles, evaluating and predicting the transportation systems (traffic, logistics, infrastructure, health, etc.)


We look forward to working with our industry, government and academic partners.”

Future Mobility

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Personal Mobility

  • A central and highly valued feature of human society to move people and goods
  • Continues to be crucial challenge in Canada and worldwide
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Challenges

  • Rapid urbanization
  • Low-quality public transport and infrastructure
  • Increasing motorization
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Disruptive Mobility Technologies

  • Autonomous vehicles, connected vehicles, electric vehicles
  • Ai, IoT, AR/VR/XR
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Future Mobility

  • Replace current vehicle-centric system with data-enabled, autonomous and intelligent mobility