Kentyou accompanies cities in their digital transformation by supporting them in making informed decisions based on data analysis.
The experiment AI4SAM – AI for fostering soft and active mobility to accelerate European’s transition to climate neutrality ran by Kentyou in the framework of EUHubs4Data’s first round of experiments focused on the optimisation of the location of soft mobility stations (shared/electric bikes, scooters, cars) in different cities (urban, rural, industrial) to reduce CO2 emissions caused by mobility.
AI4SAM explores incentivisation models for fostering citizens’ usage of soft mobility.
To achieve such an objective, in this experiment, AI4SAM combined data from various sources in two cities (demographic, topographic, points of interest, data about bike lane usage, traffic pattern, weather conditions, etc.), while their data analysis process supported the identification of the most likely places according to various parameters (e.g., social groups to incentivise, installation cost). As the last step, the optimisation algorithm suggested decisions on whether to position a station in a specific spot or not.
The validation of the experiment thesis was possible thanks to the DIHs supporting the various stages of the development. In addition, the EUHubs4Data infrastructure helped to integrate into their sensiNact platform hundreds of datasets offered by the data providers in Spain.
In the context of EUHubs4Data, they could exploit several services that scale their solution by accessing big data infrastructure and improving some parts of their solution by utilising relevant analytical toolkits.
This experiment has a significant social impact on citizens as the algorithm is designed to ensure fairness in transportation access and target different social groups (unemployed, students, ageing population).
Check the video explaining AI4SAM in detail:
This experiment was coached by BigData CoE Barcelona and used services from PSNC/HPC4 Poland and Teralab. The EUHubs4Data services used to achieve AI4SAM’s technical milestones were:
- Data as a service (BigData CoE Barcelona)
- Technology Consultancy (BigData CoE Barcelona)
- GEOSPATIAL TOOLKIT (PSNC/HPC4 Poland)
- SYMBIOTE (PSNC/HPC4 Poland)
- Secure Data Processing and Sharing Infrastructure (Teralab)
The SME also used datasets offered in the EUHubs4Data Catalogue; these were: