GreenTwin

 

GreenTwin: Green digital twin with artificial intelligence for CO2-saving cooperative mobility & logistics in rural areas

Mobile traffic is a major contributor to CO2 emissions in Germany. Above all, traffic, which is particularly generated in logistics, must be reduced to ensure greatly reduced CO2 consumption.

The GreenTwin project is dedicated to the development of sustainable regional logistics and supply for rural areas in the last mile. The project thus addresses in particular the CO2 source caused by private and business trips on the last mile in rural areas. There is great potential for improvement, as rural areas are heavily dependent on cars. As an example, we would like to investigate this problem in a model region Birkenfeld - Trier, to subsequently transfer the results to other rural regions. The region is characterized by heavy commuter traffic. In addition, car traffic also affects journeys to towns with shopping facilities, supermarkets, and restaurants, as well as post offices or pharmacies. Food deliveries could particularly improve the supply situation for people with limited mobility and reduce CO2 emissions from car journeys. At the same time, we want to maintain and improve the quality of life, work and stay in rural areas. Regionalization and the promotion of regional production and logistics networks are important building blocks here, especially in rural areas. The marketplace we envisage based on GreenTwin is intended to bundle regional products and logistics in a CO2-saving way and thus has great scaling effects.