Analysis of the reverse trip directions of overnight workers from smart card data

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 […]

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Projet PLAZA: Évaluation du projet pilote de navettes autonomes sur la rue St-Hubert

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 […]

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Development of an AI model to facilitate data extraction from forms

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 […]

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Advancing an Intelligent Transportation Data Platform and Environmental Sensing to Promote Sustainable Cities

Transportation services, ranging from public buses to private logistics fleets, could benefit significant from the introduction of Rogers’ 5G wireless networks. This project has a primary objective to support UBC’s efforts to achieve its 2050 emissions reductions goals, with an emphasis on a reduction of GHG and air pollutant emissions from transportation services.

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Real-time path identification and visualization in indoor environment using image analysis and deep learning techniques

The number of people requiring indoor navigational assistance (e.g., blind, elderly people) is increasing rapidly all over the world. People often get lost in complex places like hospital buildings. Unfortunately, the GPS service is not available indoor. The main objective of this project is to develop a robust and fast navigational technique based on continuous […]

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Outils numériques pour l’étude des avions à propulsion hybride-électrique

La propulsion hybride-électrique a le potentiel de réduire la consommation en carburant des aéronefs et constitue une alternative plus réaliste par rapport à l’option tout électrique. Avec l’utilisation de sources d’énergies différentes, le processus de dimensionnement est complexifié et couplé à l’opération de l’aéronef. Cela nécessite alors une approche d’exploration par analyse de mission et […]

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An ecological economics analysis of Quebec Sustainable Mobility Plan

As part of the transition plan to low-carbon economy, the province of Quebec (QC) has become one of the 20+ regions and cities worldwide to announce a plan to electrify transportation which centers around setting up a ’complete electric battery ecosystem’ by 2050. While this plan poses a new phase of land appropriation and environmental […]

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Shoulder Rotation of Pedestrians passing a Bottleneck

Understanding pedestrian dynamics is crucial to the design of pedestrian facilities. Although pedestrian flows are part of everyday life, many basic characteristics of pedestrian dynamics cannot yet be described in detail. The aim of the PhD project is to study the upper body rotation of pedestrians when crossing a narrow passage (bottleneck). Since the movement […]

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TrypScore Dashboard Project

Medidas Digital was incorporated in 2019 to create TrypScore, a technology built to change human behaviour with regards to driving a vehicle. Vehicle collisions are responsible for 1.35 million fatalities and approximately 50 million serious injuries across the globe every year. We wanted to create a modern user engagement tool that could incentivize better driving […]

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Aquracy – enhanced vector magnetometer precision through quantum pulse sequences

Magnetometers have been used for decades for exploration in mining, navigation and defence and security. However, high accuracy sensors often provide only the amplitude of magnetic fields, severely limiting the extent of magnetic interpretations. A novel type of quantum magnetometers based on Nitrogen Vacancy centers in diamond promise enhanced sensitivity and accuracy, while providing the […]

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Simulation temps réel de véhicules intelligents en conduite collaborative

Le développement rapide des technologies de l’information et des capteurs au cours des dernières années a eu un essor de plus en plus important dans le secteur automobile afin de rendre la conduite plus sécuritaire. Les systèmes de sécurité active en milieu automobile visent à éviter les collisions plutôt que de mitiger leur impact sur […]

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