Developing an IoT Edge Computing gateway System (IoT-ECS) to improve passenger’s journey: an intelligent mobility perspective

This research project is part of a bigger initiative driven by Tangente AI and BusPas that fits into the context of intelligent mobility within “smart cities” and is focuses on improving the urban logistics services for the transport of citizens/passengers. More specifically, by leveraging on the Internet of Things (IoT) technologies and applications, within the scope of this project led our partner BusPas, we aim to contribute to the development of a multi-technology edge computing gateway (e.g. installed on bus stops, bus shelters and bus terminals) used as a connected device for automatically detecting, collecting and analyzing in real-time data about nearby passengers, in order to improve the passenger’s journey.
From a practical perspective, although various versions of “smart” bus shelter and bus stops are now available worldwide, existing solutions suffer from (a) limited functionally (b) limited connectivity options (c) poorly automated design for detecting users. From an academic perspective, although intelligent mobility and Intelligent Transportation Systems (ITS) have been well documented within the context of smart cities, the knowledge related to the design of an IoT environment used to improve passenger’s journey is very limited.
We aim to bridge this gap by documenting our experiments and proposing our prototype.

Faculty Supervisor:

Ygal Bendavid

Student:

Partner:

BusPas Inc.

Discipline:

Computer science

Sector:

Information and Communications Technology; Transportation (excluding aerospace); Technology

University:

Université du Québec à Montréal

Program: