在不受控制的十字路口的车辆互动中的战略交叉决策:一个网络驾驶模拟器研究研究
Miaomiao Yang1, Qiong Bao1, Yongjun Shen1
1School of Transportation, Southeast University, Nanjing, China.
Accident; analysis and prevention
|March 12, 2025
概括
在不受控制的十字路口,司机.
科学领域:
- 交通安全 交通安全
- 交通运输中的人类因素
- 车辆动力学 车辆动力学
背景情况:
- 由于司机的决策不确定性,不受控制的十字路口存在风险.
- 错误的穿越或屈服决策可能导致车辆碰撞.
研究的目的:
- 在不受控制的十字路口探索影响交叉决策的因素.
- 确定驾驶员决策中的关键过渡状态.
- 根据车辆和人为因素,开发一个模型来预测交叉决策.
主要方法:
- 开发了一个双车联网驾驶模拟器,用于直行 (SG) 和左转 (LT) 车辆的交互.
- 分析了车辆加速序列和冲突距离 (DTC) 以找到关键过渡状态.
- 应用了一个随机参数逻辑模型,结合了人类因素来分析交叉决策.
主要成果:
- 速度差和DTC差异显著影响交叉决策,与单个速度或DTC不同.
- 罚款记录显著影响SG和LT司机的决策.
- 收入水平影响SG司机,而性别影响LT司机的决策.
结论:
- 两辆车的模拟对于捕获交互变量至关重要.
- 人类因素,如罚款记录,收入和性别在交叉决策中发挥着重要作用.
- 调查结果支持连接的车辆系统和政策,以减少碰撞风险.
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