Using data to improve the e-scooter experience for everyone

Dr Suzanne Little, SFI Principal Investigator at the Insight SFI Research Centre for Data Analytics and Associate Professor in the School of Computing at Dublin City University, tells Intelligent Transport about the Dublin City University e-scooter research pilot and explains how the project is using data to improve the passenger experience.

Using data to improve the e-scooter experience for everyone

An artificial intelligence-powered e-scooter research pilot recently launched at Dublin City University (DCU) aims to set the bar for e-scooter safety standards in Ireland and will involve the collaboration of four organisations: Europe’s largest e-scooter operator, TIER Mobility; Irish micro-mobility tech platform, Luna; the Insight SFI Research Centre for Data Analytics; and Smart DCU (a district of Smart Dublin). 

The instrumented e-scooters offer an unprecedented opportunity to gather detailed data to better understand micro-mobility and support new means of travelling in urban environments. The data gathered will primarily be vision data from onboard cameras with route information, including position and usage times, and other sensor data, such as gyroscopes and accelerometers. 

The importance of privacy and ethical practices in relation to data collection according to GDPR apply to data in this project, and no personal or individual data is required for this analysis. 

The pilot study will consider applications such as road condition monitoring, street infrastructure mapping and kerbside management applications, as well as heat mapping of footpath riding incidents as an indicator of problematic junctions or cycling infrastructure. 

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