CrowdRadar:一个移动人群感应的城市交通框架绿色旅行安全风险评估
Yigao Wang1, Qingxian Tang1, Wenxuan Wei1
1Fujian Key Laboratory of Sensing and Computing for Smart Cities (SCSC), School of Informatics, Xiamen University, Xiamen, Fujian, China.
Frontiers in big data
|April 7, 2025
概括
城市绿色旅行安全通过新的移动边缘人群感应框架得到加强. 该系统动态检测风险行为,并实时评估旅行风险,提高骑自行车者和行人安全.
科学领域:
- 环境科学 环境科学
- 运输工程 运输工程
- 计算机科学 计算机科学
背景情况:
- 越来越多的环境意识推动了绿色旅行方式的采用,如骑自行车和步行.
- 城市交通环境给参与者带来了隐藏的安全风险,阻碍了绿色旅行的发展.
- 传统的安全评估是反应性的,缺乏预见和实时能力.
研究的目的:
- 为动态城市绿色旅行安全风险评估提出移动边缘人群感应框架.
- 改进高风险交通行为的检测和实时安全评估.
- 克服传统事故后分析方法的局限性.
主要方法:
- 使用移动设备对人群感知道路环境数据.
- 使用语义检测框架来识别高风险的交通行为.
- 模拟旅行安全风险使用多来源,异构的城市人群传感数据.
主要成果:
- 准确检测交通高风险行为,平均F1得分为86.5%.
- 实时旅行安全风险评估,R平方值为0.85.
- 在现实世界的评估中,与各种基线方法相比,表现出优越的性能.
结论:
- 拟议的框架有效地实时评估城市绿色旅行的安全风险.
- 移动边缘人群传感为识别和减轻交通危险提供了一种积极的方法.
- 该研究提供了一个强大的解决方案,以提高可持续城市交通的安全性.
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