Traditional fleet management systems suffer from zone-based aggregation. i.e. they use aggregate zone-level road and terrain characteristics to estimate trip performance indicators. In addition, most of these systems require intermediate ad-hoc staging tables to generate trip performance reports. To address these limitations, this research aims at developing a segment-based fleet management system for near real-time analysis. The proposed approach uses static segmentation to associate road and terrain characteristics with each segment of the road network.
Increased interest in active vehicle suspensions has been shown in recent years as active suspensions improve ride comfort and handling over passive suspensions. Active suspensions replace passive fluidic dampers with highly controllable actuators to minimize transmission of road induced disturbances and actively control vehicles roll and pitch. However, integration of active suspensions in vehicles is hindered by conventional actuators that do not meet requirements of cost, bandwidth, weight, power consumption and reliability.
In Canada, the transport sector contributes to almost a quarter of all greenhouse gas (GHG) emissions, which are already having a dramatic effect on planetary climate systems. In the Greater Toronto Area (GTA) the share of transport sector emissions increases to over half of all GHG emissions. To help reduce greenhouse emissions from this sector, a number of new technologies (e.g. battery electric vehicles (EV) and buses, natural gas fueled buses) and community services (e.g. ridesharing) are proposed and being tested.
A laser-optics vehicle profiling system will be designed and developed in this project. The image of a laser line projected onto the surface of a vehicle from a vantage point will be used to make metric measurements on the vehicle and to develop a 3D model of it.
It is conjectured that this setup would work superior to the existing time-of-flight laser profilers in terms of accuracy, resolution, and speed of operation.
Multiple laser-optics scanners located at optimal locations in an inspection station can provide a panoramic 3D model of the vehicle and also provide measurements.
Linear Induction Motors (LIMs) are used in a significant portion of existing rail transport systems, and Bombardier Transport Canada Inc. is a global leader in the industry. LIMs will be ever more important in the future with the expansion of Maglevs globally. In this project, the intern will explore the mathematical models used in designing LIMs. The main objective will be improving the mathematical treatment in order to increase the efficiency of LIMs and eliminate or minimize undesirable effects such as overheating.
Maritime situation analysis is critical for dynamic decision-making in responding to real-world situations. Rapidly unfolding situations that pose an imminent danger or threat to critical infrastructure or public safety require interactive decision-making to enable a swift response. The main objective of this project is to design a robust methodical framework for the development of intelligent systems and services for real-time anomaly detection in marine traffic, applied to large volume maritime surveillance operations.
The objective of the project is to develop an automated monitoring system to accurately and reliably detect deterioration within gearboxes operating on an industrial forming line. This will involve reviewing, developing and testing one or more methodologies based on vibration signal measurement and analysis. In particular the work will focus on exploring existing potential methods, defining the capabilities of different sensors that could be used in the given environment and developing appropriate vibration signal analysis algorithms for gearbox deterioration detection and decision making.
Non-metallic technologies, including composite materials, have the potential to improve aircraft engines performances and fuel efficiency, and therefore gained a lot of popularity in the aerospace sector in the past decades. Therefore, the overall objective of this research project is to develop an understanding of all available non-metallic technologies, their maturity and value proposition when applied to Pratt & Whitney Canada engines. The intern will contribute to accelerate the development and incorporation of specific non-metallic components in Pratt & Whitney engines.
The objective of the proposed research is to investigate novel solid-state materials that have potential for hydrogen storage applications in fuel cell electric vehicles. Of interest are materials that can store hydrogen at ambient conditions and low pressures, have high gravimetric and volumetric hydrogen capacities, and can be safely packed into a hydrogen storage tank for automotive use. The research will focus on assessing the feasibility of threedimensional structures consisting of two-dimensional layered nanomaterials such as graphene as viable media to store hydrogen.
For a pharmaceutical company, it is important to source the finest raw materials (Active Pharmaceutical Ingredient) available at the best possible prices. With the advancement of globalization and the improvement of cross-broader trades, an increasing number of companies are reducing their acquisition costs of raw materials by sourcing globally.
