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ReGrid

New mobility grids as driver for next-generation smart-cities

Programm / Ausschreibung IWI, IWI, TECXPORT: Bilaterale FTI-Calls Ausschreibung 2022 Status laufend
Projektstart 01.01.2023 Projektende 30.06.2024
Zeitraum 2023 - 2024 Projektlaufzeit 18 Monate
Keywords City, Future, Urban, Mobility, Infrastructure

Projektbeschreibung

Rapid growing population, urbanisation, climate change and scarcity of resources are the 21st century challenges. The key of success will be cities.

Main target of our project-study is to develop cities with short pathways. The 15-minute city-concept, the idea that citizens can reach most daily necessities within 15 minutes, needs to be actively implemented into governmental transportation and mobility planning. How does the accurate, essential and more sustainably-effective infrastructure of future cities look like? The mobility-grid as starting point, becomes the crucial factor to define our immediate urban landscape.

Our goal is going to develop digital models, simulations and invent new tools to evaluate future trends into future solutions. Based on parametric design and big data (population development, district densities, adaptive climate strategies etc.) we are able to consider and delegate relevant decision-making as planning services.

In order to achieve refined and intelligent transportation infrastructure operation and maintenance, and improve residents' travel safety and comfort, this project aims, together with our partners in China, to build a life-cycle urban transportation infrastructure intelligent information platform suitable for Jiangsu Province. In China(Jiangsu) side, Nanjing Huizhu Information Technology Research Institute will be responsible for the construction of urban transportation infrastructure database and the development of BIM platform, while the Southeast University is responsible for the intelligent detection technology of urban transportation infrastructure based on deep learning and edge computing, and the development of intelligent maintenance decision system.

With the results and developed tools we will support governmental authorities in China as service providers and offer our planning expertise for new mobility and infrastructural developments.

Asia and India are by far the most populated areas on this planet. And they currently face the next big urbanization development in their countries.

Together with our partners in Nanjing, we search further cooperation to pursue international markets, as for example India. Our ultimate goal is the active involvement of planning and consulting support for smart cities around the world.

Abstract

This project addresses the problems of insufficient data correlation, insufficient data mobilization and integration, insufficient ability of artificial intelligence and edge computing technology (parametric implementation) to analyze dynamic data, and the lack of expert-level decision-making systems in the construction of urban digitalization in future smart-cities. Jiangsu Province acts hereby as a first prototypical site in China.

The project is based on the intersection of multi-source data and urban facility status detection, the integration of deep learning technology and intelligent sensors, the construction of a unified and standardized database of urban transportation infrastructure, the combination of modern communication technology to improve data stability and security and reduce data latency, the construction of an expert decision-making system based on coupled treatment, the formation of risk assessment indicators and assessment methods, and the construction of a digital twin of urban transportation infrastructure which fosters newest ideas of the immediate urban environment.

The project results will guide highly intelligent and high-precision urban road management, reduce the cost of facility operation and maintenance, improve the safety and comfort of urban residents' travel, and enhance the economy of scale effect.

Furthermore we anticipate architectural innovation as a result of the analysis and newly developed ideas of re-defining mobility grids for private and public transportation systems.