浙江省高速公路疲劳驾驶智能识别

通过实时分析货车行驶时长、速度、路径等多维度驾驶行为，当系统监测到符合系统阈值的货车即将到达“防疲劳停车区”时，提醒指引驾驶员驶入“防疲劳停车区”休息，以期有效减少因疲劳驾驶引起的交通事故；通过实时获取车辆行驶数据，在云端进行实时数据分析，判断货车行驶的时长、道路、状态等信息，智能监测货车驾驶行为，对长时间驾驶车辆进行标签化重点监控。

This dataset enables a system that performs real-time analysis of multi-dimensional driving behaviors of freight trucks, covering driving duration, speed, and travel route. When the system detects a truck that is about to reach a fatigue rest area while its driving behavior meets the system's preset thresholds, it will remind and guide the driver to enter the fatigue rest area for rest, so as to effectively reduce traffic accidents caused by fatigued driving. Moreover, by real-time collecting vehicle driving data and conducting real-time data analysis in the cloud, the system evaluates information such as the driving duration, road conditions and operating status of the freight truck, intelligently monitors the truck's driving behaviors, and carries out targeted, tagged key monitoring on vehicles that have been driven for a prolonged period.

搜集汇总

背景与挑战

背景概述

该数据集名为'浙江省高速公路疲劳驾驶智能识别'，主要通过对货车行驶时长、速度、路径等多维度驾驶行为的实时分析，智能监测疲劳驾驶行为，旨在减少因疲劳驾驶引起的交通事故。数据集覆盖浙江省高速公路路段，每日更新，数据存储大小为322 MB，适用于交通运输和科技创新等应用场景。