Digital Twin Technology in Urban Planning: Housing, Biodiversity, and Infrastructure – The case of Dieppe & Moncton (NB)

Rapid urban growth challenges cities with rising populations, infrastructure demands, and environmental sustainability. Traditional urban planning, based on outdated models and fragmented data, struggles to address these complexities. Digital Twin (DT) technology offers a solution by creating dynamic virtual models of real-world environments using real-time data. By integrating sources like geographic information systems (GIS), sensors, and demographic databases, DT enables data-driven decision-making.

This project examines how DT can enhance urban planning in Dieppe and Moncton (New Brunswick), focusing on housing densification, mobility, urban development, and student housing. The goal is to develop strategies for building resilient cities that accommodate population growth while maintaining high living standards and environmental sustainability. Through DT and AI-driven approaches, the research will provide insights to help the cities plan for future growth, improve traffic management, and conserve biodiversity.

Faculty Supervisor:

Moulay Akhloufi

Student:

Partner:

Dassault Systèmes

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Moncton

Program: