AIchargeMAP

The AIchargeMAP project develops an innovative machine learning tool to strategically optimize the placement of electric vehicle charging stations across Northern Italy. By combining traffic data analysis, electric vehicle penetration modeling, and advanced AI algorithms, we create a comprehensive decision-support system for charging infrastructure expansion.
Our research leverages real-world data from NEOGY's charging network in South Tyrol, collected through the LifeAlps project, to train predictive models that can identify optimal locations for new charging stations. The tool considers factors such as traffic flows, competition analysis, and economic viability to provide actionable insights for infrastructure development.

Expected Results

Intelligent Decision Tool: A user-friendly software platform featuring an interactive map interface and analytical dashboard
Predictive Analytics: Advanced models forecasting charging demand and electric vehicle adoption patterns
Economic Optimization: Calculation of key performance indicators including suitability indices and internal rate of return (IRR) for potential locations
Scalable Solution: A validated methodology applicable beyond the initial South Tyrol-Northern Italy focus area.

Created Added Value:

For Industry: NEOGY gains a data-driven expansion strategy that maximizes investment returns while meeting user needs. The tool reduces risk in infrastructure planning and accelerates market expansion across Northern Italy.

For Society: Strategic charging station placement promotes electric vehicle adoption, reducing CO₂ emissions and supporting sustainable tourism. The optimized network enhances user confidence in electric mobility.

For Research: The project advances knowledge in AI applications for sustainable transport, generating scientific publications and developing local expertise in machine learning for mobility solutions.

For the Economy: The initiative strengthens South Tyrol's position in the e-mobility sector, creating synergies with local suppliers like Alpitronic and potentially inspiring new startups in the green technology ecosystem.