用手机传感器建了个道路安全数据集，帮智能交通系统提升安全监测能力。
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
- 整合手机多种传感器数据，全面捕捉驾驶行为与路况信息。
- 覆盖加速度、陀螺仪、磁力计等9类传感器信号，参数更丰富。
- 适合交通研究、智能驾驶与城市规划者使用，推动智能交通发展。
严重交通事故常由激进驾驶和恶劣道路条件引发，亟需有效监控手段保障安全。智能手机内置多种传感器，为道路感知提供了低成本、易部署的解决方案。然而，缺乏可靠且标准化的数据集严重制约了道路状况与驾驶行为评估的研究进展。本文提出一个基于智能手机传感器的综合性数据集，超越现有数据集，融合加速度计、陀螺仪、磁力计、GPS、重力、方向及未校准传感器等多种类型，采集包括加速度力、重力、旋转速率、磁场强度和车辆速度在内的丰富参数，实现对道路状况与驾驶行为的精细化刻画。该数据集旨在支持道路安全提升、基础设施维护、交通管理与城市规划。通过向社区开放，本研究期望促进协作、激发后续研究，并推动智能交通系统中创新应用的发展。
原文摘要 · Abstract (English)
Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of built-in sensors, offer a practical and affordable solution for road-sensing. However, the lack of reliable, standardized datasets has hindered progress in assessing road conditions and driving patterns. This study addresses this gap by introducing a comprehensive dataset derived from smartphone sensors, which surpasses existing datasets by incorporating a diverse range of sensors including accelerometer, gyroscope, magnetometer, GPS, gravity, orientation, and uncalibrated sensors. These sensors capture extensive parameters such as acceleration force, gravitation, rotation rate, magnetic field strength, and vehicle speed, providing a detailed understanding of road conditions and driving behaviors. The dataset is designed to enhance road safety, infrastructure maintenance, traffic management, and urban planning. By making this dataset available to the community, the study aims to foster collaboration, inspire further research, and facilitate the development of innovative solutions in intelligent transportation systems.
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