在十字路口的严重冲突相互作用期间,用于二维双轮车驾驶行为的建模方法
Zhenyuan Liu1, Naiting Zhong1, Junyi Chen1
1School of Automotive Studies, Tongji University, Shanghai, 201804, P.R.China.
Accident; analysis and prevention
|June 18, 2024
概括
这项研究引入了一种改进的社会力量模型 (ISFM),以准确模拟车辆在十字路口交互期间的两轮车驾驶行为. 新模型提高了降低和超车的预测准确性,改善了交通安全和自动驾驶汽车的发展.
科学领域:
- 交通工程是交通工程.
- 行为建模行为建模
- 道路交通安全 道路交通安全
背景情况:
- 两轮车安全是公众关心的关键问题,特别是在经常与车辆发生冲突的十字路口.
- 现有的驾驶行为模型不足以代表两轮车与其他车辆的相互作用,限制了它们在安全分析和自主系统开发中的实用性.
研究的目的:
- 开发一个改进的社会力量模型 (ISFM) 来模拟在十字路口的冲突情况下的二维两轮车驾驶行为.
- 为了提高在遇到车辆时预测两轮车驾驶意图和轨迹的准确性.
主要方法:
- 对自然驾驶研究数据的分析,以对两轮车在与车辆交互时的意图 (屈服,超车) 进行分类.
- 设计与车辆相关的社会力量作为双力系统 (屈服和超车),而不是单一的排斥力.
- 为自行车,动力两轮车 (PTW) 和PTW组建基于ISFM的模型.
主要成果:
- 在驾驶意图预测方面,ISFM表现出显著的改进:19.7%的屈服率和25.0%的超车率.
- 模拟和实际轨迹之间的根平均平方误差减少为自行车模型的7.8%,PTW模型的14.8%.
- 对PTW集团的模型也表现出强的表现.
结论:
- 改进的社会力量模型 (ISFM) 在复杂的交叉路口场景中有效地捕捉到双轮车的多模式驾驶意图.
- ISFM提供了一个更精确的模拟工具,用于交通安全管理和测试与两轮车相互作用的自动驾驶汽车.
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