Hydrology and geochemical cycling of a complex urban stormwater system

The hydrologic cycle in major cities is influenced by roadways, rooftops, and other features, resulting in greater runoff and poorer water quality. At airport sites across Canada, de-icing compounds can also degrade water quality by altering water chemistry in surface ponds as well as subsurface water (i.e., groundwater). This project aims to characterize water movement […]

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Test Automation with TTCN-3

Development of an Avionics system test methodology, based on the Test and Test Control Notation (TTCN-3). This will include (1) a gap analysis between TTCN-3 and current avionics test languages and environments and (2) a large scale case study. Of particular interest, will be the ability to model and verify both continuous control and discrete […]

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Regional Risk Assessment of Underground Metro Infrastructure under Different Dynamic Loads

Underground metro infrastructures are subjected to different types of dynamic loads that would hinder their ability to function properly. This proposed research aims to assess the risks of city-scale underground tunnel networks under both periodic human-induced vibrations (i.e., blasting and drilling vibrations) and short-term extreme earthquake hazards. We will develop a GIS model for the […]

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Centre for Operations Excellence Summer Internship Cluster 2013

The COE Summer Internship Cluster consists of seven sub-projects sponsored by six different industry partners. Each sub-project represents an important challenge for its sponsor. These subprojects include understanding predictors of service variation and of return-to-work outcomes within the Physiotherapy program at WorkSafeBC; scheduling at Tree Island Industries; optimization of work flow for a set of […]

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Development of multilayer composite systems via co-extrusion process

Extreme conditions in Oil and Gas industry often impose conflicting demands for the optimum mechanical properties as well as long term corrosion resistance. The internal and external side of the pipeline are usually exposed to different environments and are required to possess different characteristics. It is difficult to find a single material to satisfy all […]

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A Predictive Cluster-based Machine Learning Pricing Model

Dynamic pricing models create price by assessing total cost, demand, and timing to customize the price to the moment. The models enable both buyers and sellers to settle a price that is very custom to their specific needs. Bison Transport Inc. has a network model that monitors profit and a pricing engine that monitors margin. […]

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Assessing Risk for Hazardous Driving and Accident Propensity

Road safety affects everyone, and companies are looking for ways to identify the risk factors for their fleet drivers, and to reduce the chance of accidents. This project will build on Geotab’s existing methods for assessing driving risks, and develop new techniques to better identify risky drivers and risky behaviours. The project will focus on […]

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Vehicle Minor Collision Detection Using Telematics and Environmental Data

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data collected from over 2 million connected vehicles, there is a great opportunity to leverage big data and machine learning to establish a minor collision detection system. On top of driving data and environmental data, it also contains machine diagnostic […]

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Étude par simulation de la fluidité du transport routier aux guérites d’un port durant la construction d’un nouveau terminal

Un projet d’expansion portuaire soulève plusieurs enjeux, notamment au regard de l’atténuation des impacts négatifs qu’auront les activités de camionnage pour la construction du nouveau terminal. L’enjeu de la fluidité aux points de contrôle (guérites d’accès au port) du transport routier entrant et sortant est ciblé dans ce projet. Les deux guérites existantes sont sujettes […]

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Parking Occupancy Inference With LiDAR Sensors

Parking is a cumbersome part of auto travel in urban areas, primarily due to lack of information on the location of available spots. Sensors can be deployed to detect occupancy, but they often fail due to their high costs and detection inefficiencies in outdoor spaces. This project pursues a feasibility study of using LIDAR sensors, […]

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Derisking GNSS use in the design of a train autonomy system

Thales Canada, Transportation Solutions has a long history of developing automated train systems. The company has designed a new autonomous train system that contains a Global Navigation Satellite System (GNSS), e.g., GPS, sensor input using corrected GNSS measurements. Thales and York University’s GNSS Laboratory are proposing in this Mitacs Accelerate proposal that one senior doctoral […]

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