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, which overcome some deficiencies, for parking detection. LIDARs have a wide field of view, are robust to outdoor disturbances, and can be provided at cost given the recent advancements in the autonomous vehicle industry.

Data analytics in asset management of erosion control structures

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline erosion, which in turn will help safe shoreline properties and community spaces from increased erosion. The accurate perdition of erosion will also enable TRCA to develop effective plans to protect natural habitat.

Achieving Circular Wastewater Management with Machine Learning

Effective wastewater treatment is essential to the health of the environment and municipal wastewater treatment plants in Canada are required to achieve specific effluent water quality goals to minimize the impact of human generated wastewater on the surrounding environment. Most wastewater treatment plants include a combination of physical, chemical, and biological unit processes and therefore have several energy inputs to drive mixing, maintain ideal temperatures, and move water from one unit process to the next.

Identifying Microaggressions Experienced by BIPOC Engineering Students across Higher Education in Ontario

Acknowledging that discrimination and prejudice of various sorts (e.g., verbal, behavioural, environmental) continue to exist in the education system, this research seeks to address how and why microaggressions against Black, Indigenous, and People of Colour (BIPOC), within engineering departments, show up among peers in classrooms, across interactions in lab environments, group-activities, and more.

Hydrologic regulating services of non-woody grassed and meadow urban landscapes

Due to urbanization in the GTA, many green areas are replaced by impervious infrastructure, preventing runoff infiltration and increasing flood risks.

Aeration of hydraulic turbines for increased dissolved oxygen

In warm climates warm temperatures cause thermal stratification in hydropower reservoirs inhibiting mixing and leading to deoxygenation of waters at depth (hypolimnium). Turbines withdrawing water at depth result in low dissolved oxygen (DO) in the downstream flow having a large negative impact on the downstream riverine ecosystem. Legislation in the USA and elsewhere now requires hydropower operators to guarantee meeting minimum DO limits in downstream flows.

Stress Monitoring in Potash Mines

Mining induced stress in the area around tunnel openings represents a major design consideration in today’s potash mines. The actual induced stress is currently monitored using an array of techniques derived from the hard rock mining industry, one of the key assumptions being linear-elastic deformation behaviour of the rock. When using these methods in an evaporite like potash, issues can arise with the accuracy of these assumptions.

Research in Support of New Orthotropic Steel Bridge Deck Provisions for CSA S6:25

Orthotropic bridge deck is lightweight steel deck, typically fabricated by welding “ribs” to the underside of a flat steel plate. The potential benefits of these deck systems are compelling. For example, from 1991 to 1993, the deteriorating deck on the Champlain Bridge was replaced with orthotropic steel deck panels weighing 25% less than the original reinforced concrete deck. The reduced self-weight enabled the bridge to continue to operate despite increasing live loads and deterioration of the superstructure for another two decades.

Modeling the Grid Impact of Long Haul Electric Vehicles (LHEVs) in Ontario

Electric Long Haul (LH) Transport Trucks may feature batteries that are 10 or more times the capacity of passenger electric vehicle (EV) batteries. Charging these enormous Trucks could put a major strain on our electric grid. Conversely, these massive batteries could offer valuable services and put power back onto grid at strategic times and places. A study will examine the potential grid impacts of LHEVs on the Ontario grid. Archetypal long-haul routes of existing transport patterns across Ontario will provide a foundation for the analysis.

Exploring the role of an innovative lean visual management technology in enhancing the efficiency of construction sites in Quebec

There is a need for a standardisation of lean visual management practices on construction sites to improve transparency of the work process, incorporating information into various workplace activities, ensuring predictability in micro-decision making and maximising collective intelligence. In this study our main aim is to identify existing VM conditions and the role of an innovative VM Rapid Check™ technology in adapting visual workplace framework on Quebec construction sites.