Inspired by the Cotoneaster franchetii, a super-plant acknowledged for filtering 20% more automobile air pollutants emissions, the solution proposes monitoring and estimating the GHG emissions produced by transportation solutions within smart cities across Europe.
FranchetAI is an innovative data-driven and AI-based solution that aims at helping cities absorb traffic pollution. Inspired by the Cotoneaster franchetii, a super-plant recently acknowledged for filtering 20% more emissions (namely automobile air pollutants) than other hedges; the solution proposes monitoring and estimating the GHG emissions produced by transportation solutions within smart cities across Europe. Furthermore, it leverages AI technology to analyse and forecast behaviours based on multimodal data (e.g., electric and shared mobility usage) and provide recommendations to reduce these emissions
FranchetAI targets Smart Cities, concretely the municipalities and operators (e.g., public transit, EV charging, logistics) together with travellers and citizens' communities.
1
Mobility-as-a-Service:
High usage of private vehicles within city boundaries.
Relatively low attractiveness of public transportation.
Lack of understanding and real-time prediction of passenger behaviour.
Lack of motivation among citizens to change their habits due to low awareness of the impact of their mobility choices on their carbon footprint.
2
Traffic Flow Optimisation:
Optimisation of the location of EV charging stations.
Predictive traffic planning taking into account the effect of the weather, safety issues, person disabilities, among others.
A better understanding of the potential demand for new modes of travel and the necessity to develop a predictive usage model for these emerging mobility domains (e.g., e-scooters, e-bikes, personal vehicle sharing, just to name a few).
3
Optimisation of logistics:
Half-empty vehicles making logistics deliveries.
Very little or no task coordination between transport suppliers
Difficulties for consumers and producers to get a unified perspective on the CO2 emissions created by local and long-distance trade
Deliveries made during peak traffic hours leading to increases in congestion
Deliveries made by cars using fossil fuel
Meet the Team
R&D Coordination, Contact with Buyers Group, active R&D in data collection, Intelligent services and UI/UX implementation.
This is part of the AI4Cities project that has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 871914