Electric Micromobility Dataset
收藏arXiv2024-03-26 更新2024-06-21 收录
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https://github.com/SFIEssential/DualEMobilityData-datasets
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资源简介：
Electric Micromobility Dataset是由都柏林城市大学机器学习研究中心创建的开放数据集，专注于电动滑板车和电动自行车的能源建模研究。该数据集包含36次电动自行车旅行和30次电动滑板车旅行的详细信息，涵盖了速度、海拔、电池状态等关键数据。数据收集过程严格，使用了GPS和定制传感器，确保了数据的准确性和完整性。该数据集的应用领域主要集中在解决电动微移动工具的能源消耗问题，通过精确的能源模型预测，帮助用户进行行程规划，增强对电动交通工具的信心。
Electric Micromobility Dataset is an open-access dataset developed by the Machine Learning Research Centre at Dublin City University, dedicated to energy modeling research for electric bicycles and electric scooters. This dataset includes detailed records from 36 e-bike trips and 30 e-scooter trips, encompassing critical attributes such as travel speed, elevation changes, and battery status. The data collection process was conducted with strict protocols, utilizing GPS and custom-designed sensors to guarantee data accuracy and integrity. The primary applications of this dataset lie in addressing energy consumption challenges of electric micromobility devices: through accurate energy model predictions, it can help users with trip planning and boost user confidence in electric transportation tools.
提供机构：
机器学习研究中心（ML-Labs）
创建时间：
2024-03-26
