一种游戏理论方法,用于在不受控制的交通环境中建模行人与车辆冲突的解决方案
Roja Ezzati Amini1, Mohamed Abouelela1, Ashish Dhamaniya2
1Chair of Transportation Systems Engineering, TUM School of Engineering and Design, Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany.
Accident; analysis and prevention
|May 11, 2024
概括
这项研究使用游戏理论在不受控制的交通中模拟行人和车辆的互动. 这些模型准确地预测了道路使用者的行为,提高了自动驾驶系统的安全性.
科学领域:
- 交通安全工程 交通安全工程
- 人与机器的互动 人与机器的互动
- 行为建模行为建模
背景情况:
- 由于不可预测的相互作用,在不受控制的交通环境中,行人安全是一个关键问题.
- 将自动驾驶系统 (ADS) 集成到混合交通中,需要先进地预测道路使用者的行为.
- 步行者的敏捷性和运动自由有助于不可预测的道路行为,使交通互动复杂化.
研究的目的:
- 开发一种游戏理论方法,用于在不受控制的交通环境中模拟行人与乘用车和轻型车辆的交互.
- 通过结合关键决策因素,预测道路使用者移动和冲突解决策略.
- 为自动驾驶系统提供行为模型,以提高交通安全和效率.
主要方法:
- 制定游戏理论模型来表示行人和车辆之间的互动.
- 包括影响道路用户决策和战略选择的关键因素.
- 使用来自各种不受控制的交通环境的视频数据来应用和校准模型 (印度汉堡).
主要成果:
- 提出的游戏理论模型在预测道路用户行为方面表现出令人满意的表现.
- 模型的准确性在复杂的场景中特别值得注意,例如印度的中区交叉区域.
- 这些模型有效地解释了行人和车辆相互作用的随机性质.
结论:
- 开发的游戏理论模型提供了一种强大的方法来理解和预测在不受控制的交通中行人与车辆的相互作用.
- 这些模型显示出作为自动驾驶系统开发和部署的行为框架的巨大潜力.
- 改善道路使用者行为的预测可以在混合交通环境中提高交通安全和效率.
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