Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset

arXiv:2403.17632v1 Announce Type: cross
Abstract: The escalating challenges of traffic congestion and environmental degradation underscore the critical importance of embracing E-Mobility solutions in urban spaces. In particular, micro E-Mobility tools such as E-scooters and E-bikes, play a pivotal role in this transition, offering sustainable alternatives for urban commuters. However, the energy consumption patterns for these tools are a critical aspect that impacts their effectiveness in real-world scenarios and is essential for trip planning and boosting user confidence in using these. …

abstract arxiv bikes challenges congestion consumption cs.ai cs.cy cs.lg data data-driven dataset electric energy environmental e-scooters however importance micro micromobility mobility modelling pivotal role solutions spaces sustainable tools traffic traffic congestion transition type urban