Vehicle speed dataset

We obtained this dataset as part of a project to generate a realistic speed profile on a trip specified by GPS coordinates. Specifically, we focused on generating the speed profile for a passenger car traveling on an unfamiliar route, i.e., a route the machine-learning model has yet to see. The dataset contains 5973 rides of five different passenger cars, with a total length of 9049.3 km. The data was collected during 2021 in the Czech Republic and includes municipal and non-municipal trips.  The maximum allowed speed in the Czech Republic is 50 km/h in a municipality, 90 km/h outside a municipality and 130 km/h on a motorway. In addition, there may be sections with different speed limits.  We use Open Source Routing Machine (OSRM) map-matching algorithms to pair measured spatiotemporal data with Open Street Map (OSM) geographical data. For this purpose, we use Overpass API. Imputed information includes the road type, maximum speed limit, intersection exits, traffic signals or pedestrian crossings. Further, we add elevation and slope data from Open-Elevation API, an open-source elevation API based on Shuttle Radar Topography Mission (SRTM) data.  Citations Vrany, J., Krepelka, M., Chumlen, M. (2023). Generating Synthetic Vehicle Speed Records Using LSTM. In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 675. Springer, Cham. https://doi.org/10.1007/978-3-031-34111-3_12 Acknowledgement This dataset was supported by the Technology Agency of the Czech Republic project CK01000020, “Development of a GNSS route generator and CANBUS signal with machine learning using Software Defined Radio”, and project CK02000136, “Virtual Convoy—a comprehensive environment for testing CAR2X communication systems”.本数据集源自一项针对GPS坐标指定行程生成真实速度剖面的研究项目。具体而言，本项目聚焦于为行驶在陌生路线（即机器学习模型尚未见过的路线）上的乘用车生成速度剖面。 本数据集包含5辆不同乘用车的5973条行程记录，总行驶里程达9049.3公里。该数据集于2021年在捷克共和国采集，涵盖城市区域及非城市区域的行程。 捷克共和国境内的法定限速标准为：城市区域内最高时速50公里，非城市区域最高时速90公里，高速公路最高时速130公里；此外，部分路段可能设有差异化限速要求。 我们采用开源路由机（Open Source Routing Machine, OSRM）地图匹配算法，将采集到的时空数据与开放街道地图（Open Street Map, OSM）地理数据进行关联，此过程依托Overpass API实现。 补全的信息包含道路类型、最高限速、交叉口出口、交通信号灯及人行横道等内容。此外，我们还通过Open-Elevation API添加了高程与坡度数据——该开源高程API基于航天飞机雷达地形测绘任务（Shuttle Radar Topography Mission, SRTM）数据构建。 ### 参考文献 Vrany J, Krepelka M, Chumlen M. 2023. 基于长短期记忆网络（Long Short-Term Memory, LSTM）生成合成车辆速度记录[C]//Maglogiannis I, Iliadis L, MacIntyre J, Dominguez M, 编. 人工智能应用与创新：2023年人工智能应用与创新国际会议（AIAI 2023）论文集. 国际信息处理联合会信息与通信技术进展丛书，第675卷. 尚贝里：施普林格出版社. https://doi.org/10.1007/978-3-031-34111-3_12 ### 致谢 本数据集得到捷克共和国技术局项目CK01000020（"基于软件定义无线电与机器学习的全球导航卫星系统（Global Navigation Satellite System, GNSS）路线生成器及CAN总线（Controller Area Network, CANBUS）信号开发"）以及项目CK02000136（"虚拟车队——面向CAR2X通信系统测试的综合环境"）的资助。

搜集汇总

背景与挑战

背景概述

该数据集是一个车辆速度数据集，包含5973次乘用车行程的GPS坐标和实测速度记录，总长度9049.3公里，于2021年在捷克共和国收集。数据集整合了Open Street Map地理数据和海拔坡度信息，主要用于通过LSTM模型生成陌生路线的合成速度剖面，支持人工智能和交通研究。