This project aims to provide a framework to quantify the interactivity between human drivers in traffic, which could be used to design the decision-making policy for socially-compatible autonomous vehicles. Toward this end, we develop a conditional behavior prediction module based on Gaussian mixture models to jointly capture the dependency of one agent’s reactions on the […]

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]

Bridge abutments are commonly built with a construction technology called Mechanically Stabilized Earth that provides structural soundness. The core element is a composite material that alternates layers of backfill soil with layers of galvanized steel reinforcements. Although the structural design has been well developed since its introduction in the construction practices, the degradation of the […]

According to the existing airworthiness standards, aircraft turbofan engine certification must demonstrate its ability to contain a fan blade should the blade accidentally separate under critical operating conditions. P&WC has established a full engine computational analysis process. In the continuing evolution of this modelling process, several areas requiring improvement have been identified as critical. One […]

Route planning plays an integral part of each voyage in maritime operations. The selected route must be optimized in terms of economic factors and safety concerns. It also has to adhere to national and international regulations. Recently, the International Maritime Organization introduced a new regulatory instrument to promote the decarbonization of the shipping industry. The […]

This project aims to develop two microgrid models based on hybrid energy resources for supplying clean energy to marine applications and waterfront infrastructure. The proposed Hybrid Energy Station (HES) has two models of HES microgrid. The first is a mobile HES (MHES) for supplying offshore power for charging boats and ships and auxiliary services integrated […]

For marine autonomous surface ships (MASS), a more acceptable operation is ‘constrained autonomous operation’ where the ship operates fully autonomously. Most of the existing systems have strictly defined operational constraints or limited available decision spaces; therefore, autonomous decisions are only allowed for some predefined scenarios. However, marine environment is dynamic; the environmental disturbances (wind, wave, […]

With thousands of accidents annually, often resulting in hundreds of deaths and injuries, billions in economic losses, and devastating environmental pollution, the marine industry remains one of the most dangerous industries nationally and internationally. The work environment on ships is inherently risky and poses numerous challenges to the ship crew. Moreover, the nature of their […]

Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel […]

Climate change is a critical problem for society that is linked to all parts of our lives, and transport is one of the biggest sources. One major influence on transport emissions is where people live, as it affects vehicle ownership and distances driven. This project will examine how people consider transport when deciding where to […]

Le projet-pilote de navette autonome (et électrique) sur la rue St-Hubert, piloté par la ville de Montréal, représente ainsi une opportunité intéressante de documenter l’expérience des usagers de la navette et les perceptions des riverains par rapport à l’arrivée de ce véhicule sur le réseau routier. Le deuxième objectif vise à étudier les interactions des […]

At Mely.ai, we are changing the supply chain and logistics landscape by providing AI-assisted tools to the industry. We want to give an unpreceded experience to our users with the latest technologies to serve their customer better. We analyze paper documents frequently used in the transport and logistics industry such as commercial invoices, packing lists […]