| An Early Warning Model of Traffic Accidents Based on Fractal Theory | |
| Can Ye; Huiyun Li; Guoqing Xu | |
| 2014 | |
| 会议名称 | Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on |
| 会议地点 | 中国 |
| 英文摘要 | Traffic accidents occur with tremendous increase over the years. We propose an early warning method combine the factors from both the drivers and their vehicles. We extract data of physiological parameters and vehicle parameters and analysis them with fractal theory. We use Hurst index to verify that parameters of driver and vehicle have a characteristic of fractal. The simulation demonstrates that when the average box dimension value of the heart rate volatility, rotational speed volatility, and the acceleration is greater than 1.7, accident will probably occur so that we should warn the driver that he should have a rational decision. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5563]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Can Ye,Huiyun Li,Guoqing Xu. An Early Warning Model of Traffic Accidents Based on Fractal Theory[C]. 见:Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on. 中国. |
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