Data-Driven Prediction of Urban Micromobility: A Study of Dockless Electric Scooters [Applications of Control

Abstract

Since the early modern age, the development of various means of transit has contributed to a dramatic improvement in quality of life. However, in past decades (particularly in urban environments), the simultaneous utilization of mobility options has resulted in poor air quality, traffic congestion, and a lack of parking. To solve these problems without imposing severe restrictions on personal mobility, alternatives to cars powered by internal combustion engines are necessary (see “Summary”).