建模通信支持的交通交互.
O Siebinga1, A Zgonnikov1, D A Abbink1
1Department of Cognitive Robotics, Delft University of Technology Mekelweg 2, Delft, The Netherlands.
Royal Society open science
|May 26, 2023
概括
这项研究引入了一个新的计算框架来建模驾驶员的互动,这对于自动驾驶汽车的发展至关重要. 该模型准确地模拟了交通场景中类似人类的交互行为.
科学领域:
- 自主系统 自主系统
- 人与计算机的交互
- 计算社会科学 计算社会科学
背景情况:
- 自动驾驶汽车 (AV) 面临着与人类驾驶员互动的挑战,特别是在高速公路合并等复杂的场景中.
- 当前的计算模型往往忽略了驾驶员的通信,并假定单方面反应,限制了它们在现实世界的交互中的准确性.
研究的目的:
- 开发一种新的计算框架来建模交互式驾驶员行为.
- 通过结合明确的驾驶员通信和有限的理性来解决现有模型的局限性.
主要方法:
- 提出了一个共同的交互式系统模型,超越了孤立的驾驶员模拟.
- 在驾驶员行为模型中整合了明确的沟通道和有限的理性.
- 在简化高速公路合并和汽车追随场景中测试了框架.
主要成果:
- 该模型产生了可信的交互行为,包括积极和保守的合并策略.
- 在汽车追踪模拟中出现了类似人类的差距保持行为,这是由风险感知驱动的.
- 该框架展示了模拟复杂,双向驾驶员互动的潜力.
结论:
- 开发的框架为准确的交互建模提供了一个有希望的方法.
- 这项研究可以为开发具有互动意识的自动驾驶汽车做出重大贡献.
- 明确建模通信和有限的理性是实现现实的驾驶员行为模拟的关键.
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