Thursday 06 March 2025
In a bid to better understand the world of micromobility, a team of researchers has created ScooterLab, an innovative testbed that uses e-scooters equipped with advanced sensors to collect data on riders and their environments. The project is designed to help scientists tackle the challenges posed by battery-powered vehicles, which have become increasingly popular in urban areas but also present concerns about safety, privacy, and sustainability.
The ScooterLab system consists of three main components: a fleet of customizable e-scooters with built-in sensors, a central hub that manages the data collection process, and an online portal where researchers can access and analyze the gathered information. The e-scooters are equipped with a range of sensors, including GPS, accelerometers, magnetometers, and cameras, which collect data on the rider’s movements, the environment, and even audio recordings.
The central hub, called the Fleet Controller (FC), is responsible for managing the fleet of e-scooters and storing the raw data. The FC also integrates external data sources, such as traffic information and weather data, to provide a more comprehensive picture of the riders’ experiences. This integration will enable researchers to explore how environmental factors impact micromobility patterns and behavior.
The online portal, called Research Activities Management Portal (RAMP), provides an interface for researchers to design and deploy customized sensing experiments. RAMP includes tools such as maps and statistics to help researchers visualize and analyze the data, making it easier to identify trends and patterns in the collected information.
One of the key benefits of ScooterLab is its ability to collect large-scale, diverse datasets that can be used to inform policy decisions and improve urban planning. By analyzing how riders use e-scooters in different environments, researchers can identify potential safety hazards, optimize routes, and develop more effective traffic management strategies.
The project also has the potential to advance our understanding of human behavior in urban spaces. By collecting data on rider movements and interactions with their environment, researchers can gain insights into how people navigate cities, make decisions about transportation, and respond to changes in their surroundings.
ScooterLab is currently available for use by researchers across multiple disciplines, including computer science, engineering, urban planning, and environmental studies. The project’s creators hope that the testbed will become a valuable resource for scientists seeking to better understand and improve micromobility systems.
Cite this article: “ScooterLab: A Testbed for Understanding Micromobility Systems”, The Science Archive, 2025.
Micromobility, E-Scooters, Sensors, Data Collection, Urban Planning, Transportation, Safety, Privacy, Sustainability, Research, Mobility
