Freight service is an integral part of any business that supplies or sells physical goods. Even though its importance is often hidden from consumers, the sight of trucks and cargo vans on city streets and highways can make one appreciate the extent to which freight service impacts our lives. In North America, many carriers (i.e. […]

The goal of this project is to develop and integrate the required technology to create food wrapping materials that can tell any untrained consumer if the food is safe to eat, without the need to use sophisticated equipment. This will be achieved by incorporating a barcode-type biosensor on an antifouling food wrap. The biosensor is […]

This project aims at creating a model for forecasting ice formation in the St. Lawrence Seaway between the Welland Canal and Quebec City. This will improve drastically the planning of all maritime operations during the winter transition period, before the freeze-up.

In recent years, the North American population has become increasingly dependent on food and consumer product delivery. As a result of the current COVID-19 pandemic there have been surges in delivery demand. There are several active driving-based delivery methods, such as Uber Eats, however drivers are required to navigate through traffic, park, turn off their […]

The goal of the project is to research and develop computer vision algorithms, software, and specialized hardware for the analysis of mixed traffic at intersections. Road users will be detected and classified as motor vehicles, pedestrians and bicycles. Road users will be geo-located within a 3D model of the intersection, tracked and classified according to […]

Tackling climate change is a complex task, one that depends on transformation of different sectors. Maritime shipping is the transmission belt of the global economy and continues to account for the majority of imports and exports. It is recognized as an energy-efficient mode of transportation compared to road and air transport. Yet, maritime transport has […]

Vehicles rely on small computers located in various places. The electronic signals sent between these computers must be dependable. However, currently these signals can easily be hacked which threatens the vehicle and the people in and around it. A project is underway, involving Akimbo Technologies Inc., Solana Networks Inc., and the Carleton University Applied Dynamics […]

Drone Delivery Canada (DDC) designs and operates high performance Remotely Piloted Aerial Systems (RPAS) to deliver payloads between depots and warehouses. Safety and quality assurance (QA) play an integral role in assuring that drone technology is accepted by the public, consumers, and the Canadian government. The demand for more advanced testing on both the drone […]

There is a strong belief that autonomous vehicles will play a vital role in the future of the global transportation economy. There, however, exists many open challenges which need to be overcome to realize this future vision. One such challenge is the acceptance from the driver to relinquish full control of a vehicle and ultimately […]

The COVID-19 pandemic affected every aspect of our lives, and recreational water facilities were not immune to this with several questions and concerns about potential exposure to the virus at these facilities. This research project aims to understand experiences, needs, and attitudes towards the use of recreational water facilities, namely, public pools and spas during […]

(TTC) for improved public transit planning and better transit service delivery. With the implementation of PRESTO Card, TTC now generates real-time data on how often and where transit riders interact with the TTC’s infrastructure and network. PRESTO Card data allows new ways to capture transit demand in real-time and makes it possible to deploy state-of-the-art […]

Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]