在交通事故区域周围的CAV拥堵机制的分析
Qinglu Ma1, Xinyu Wang1, Shengping Niu1
1Department of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China.
Accident; analysis and prevention
|June 20, 2024
概括
引入连接和自动驾驶汽车 (CAV) 显著改善了事故后的交通流量. 转向策略,特别是具有更高的CAV透率,有效地减少拥堵时间和队列长度,更快地恢复道路容量.
科学领域:
- 交通工程是交通工程.
- 智能运输系统 智能运输系统
- 自动驾驶技术 自动驾驶技术
背景情况:
- 交通事故是造成交通拥堵和道路安全问题的主要原因.
- 互联和自动驾驶汽车 (CAV) 为减轻事故影响提供了潜在的解决方案.
- 有效的交通管理策略对于最小化二次拥堵至关重要.
研究的目的:
- 在转移干扰和非干扰场景下开发意外交通拥堵的演变模型.
- 分析不同CAV透率对交通流动动态和拥堵的影响.
- 评估转移干预措施在减少事故引起的交通拥堵方面的有效性.
主要方法:
- 使用合作自适应巡航控制 (CACC) 和智能驾驶员模型 (IDM) 模拟混合交通流.
- 分析不同CAV透度 (Pc) 级别下的交通拥堵演变情况.
- 对疏散时间,交通量和队列长度的转移干预策略的评估.
主要成果:
- 增加CAV透率可以提高交通流量 (占用率,流量,速度).
- 转向干预措施可在Pc <= 80%的情况下将拥堵持续时间减少高达50%.
- 交通量显示出与最大队列长度的非线性正相关性,受干扰时间和疏散量的影响.
结论:
- CAV和转移策略在缓解事故造成的交通拥堵方面是有效的.
- 优化转移干预可以显著减少疏散时间和队列长度.
- 该研究为改善交通管理和恢复事故后道路容量提供了宝贵的见解.
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