It's important to monitor road issues such as bumps and potholes to enhance safety and improve road conditions. Smartphones are equipped with various built-in sensors that offer a cost-effective and straightforward way to assess road quality. However, progress in this area has been slow due to the lack of high-quality, standardized datasets. This paper discusses a new dataset created by a mobile app that collects sensor data from devices like GPS, accelerometers, gyroscopes, magnetometers, gravity sensors, and orientation sensors. This dataset is one of the few that integrates Geographic Information System (GIS) data with weather information and video footage of road conditions, providing a comprehensive understanding of road issues with geographic context. The dataset allows for a clearer analysis of road conditions by compiling essential data, including vehicle speed, acceleration, rotation rates, and magnetic field intensity, along with the visual and spatial context provided by GIS, weather, and video data. Its goal is to provide funding for initiatives that enhance traffic management, infrastructure development, road safety, and urban planning. Additionally, the dataset will be publicly accessible to promote further research and innovation in smart transportation systems.

翻译：监测道路颠簸和坑洼等问题对于提升安全性和改善路况至关重要。智能手机配备多种内置传感器，为评估道路质量提供了一种经济高效且简便的方法。然而，由于缺乏高质量、标准化的数据集，该领域进展缓慢。本文介绍了一个由移动应用程序创建的新数据集，该程序收集来自GPS、加速度计、陀螺仪、磁力计、重力传感器和方向传感器等设备的传感器数据。该数据集是少数将地理信息系统（GIS）数据与天气信息及道路状况视频片段相结合的数据集之一，提供了具有地理背景的道路问题的全面理解。通过整合车辆速度、加速度、旋转速率和磁场强度等关键数据，以及GIS、天气和视频数据提供的视觉与空间背景，该数据集能够更清晰地分析道路状况。其目标是为加强交通管理、基础设施发展、道路安全和城市规划的举措提供数据支持。此外，该数据集将公开访问，以促进智能交通系统的进一步研究与创新。