Imagine trying to guess how self-driving cars will change a city's traffic, air quality, and local economy before they even arrive. This project built a digital simulator that lets planners test different scenarios to see what actually works. It's like a flight simulator for city planners to avoid costly mistakes when deploying autonomous shuttles or delivery bots.
Companies and cities deploying autonomous vehicles often guess the impact on traffic and society. This leads to expensive failures and public resistance because they lack a way to simulate outcomes before investing.
A system dynamics-based impact assessment tool (IAMT) and an online knowledge bank containing literature reviews and citizen perception data.
If you are a city authority dealing with unpredictable traffic shifts from autonomous vehicles — this project developed an impact assessment tool that predicts socio-economic and environmental effects. It helps you design better urban mobility plans based on data from 3 European regions.
If you are a logistics provider dealing with uncertain business models for self-driving trucks — this project developed co-created business models and KPIs. This allows you to evaluate the financial and operational viability of your fleet deployment.
If you are a tech firm dealing with a lack of user acceptance data for automated driving — this project developed a knowledge bank of citizen perceptions and needs. You can use these insights to tailor your product to specific regional requirements.
Based on available project data, no pricing or licensing costs are mentioned.
The project tested the tool across 3 different regions (Poland, Netherlands, Greece) and involved a network of actors in 8 countries, suggesting a design intended for wide-scale application.
Based on available project data, specific IP or licensing agreements are not disclosed.
The tool provides recommendations for Sustainable Urban Mobility Plans (SUMP) and uses a system dynamics-based approach to fit into existing decision-making processes.
The project ran from 2022-09-01 to 2025-06-30, with a BETA version of the tool already presented during the reporting period.
The consortium is well-balanced for technology transfer, featuring 11 partners with a 45% industry ratio. With 4 SMEs and 5 larger industry players across 9 countries, the project combines academic research (1 university, 2 research centers) with practical commercial application, ensuring the tool is grounded in real-world business needs.
Contact BABLE GMBH in Germany for tool access
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