检查绿灯最佳速度咨询系统 (GLOSA) 对道路安全的影响
Amna Chaudhry1, Rajae Haouari2, Evita Papazikou2
1TU Delft, Mekelweg 5, 2628 CD Delft, Netherlands.
Accident; analysis and prevention
|March 29, 2024
概括
绿灯最佳速度咨询 (GLOSA) 系统在低连接和自动化车辆 (CAV) 市场透率下显示了轻微的安全改进. 较高的CAV率并没有带来显著的安全益处,车道交换冲突的增加有所增加.
科学领域:
- 交通工程是交通工程.
- 道路交通安全 道路交通安全
- 智能运输系统 智能运输系统
背景情况:
- 虽然绿灯最佳速度咨询系统 (GLOSA) 提供了移动性和环境优势,但它们的安全影响,特别是在混合交通环境中,需要进一步调查.
- 确保GLOSA的安全部署需要在设计阶段识别和减轻潜在的安全问题.
- 以前的研究表明,GLOSA可以通过减少信号交叉点的冲突来提高安全性,但需要在各种现实条件下进行经验验证.
研究的目的:
- 检查GLOSA在混合交通场景中的实施对安全的影响.
- 为了评估这些影响在不同的市场透率 (MPR) 的连接和自动化车辆 (CAV).
- 开发一个改进的GLOSA算法,解决现有方法的局限性.
主要方法:
- 为大曼彻斯特地区开发和验证微型模拟模型.
- 在三个信号交叉点实施了改进的GLOSA算法.
- 基于文献和安全分析,使用代孕安全评估模型 (SSAM) 建模CAV行为.
主要成果:
- 在低CAV MPR (20%) 的情况下,GLOSA的实施显示出了轻微的安全改善.
- 在40%或更高的CAV MPR时,没有明显的安全改善或轻微下降.
- 后端冲突减少,而车道交换冲突随着GLOSA的实施而略有增加.
结论:
- 在提高道路安全方面,GLOSA的有效性取决于互联和自动化车辆的市场透率.
- 建议进行进一步的研究,以完善GLOSA算法,并在更广泛的交通场景和CAV代中评估其安全性能.
- 解决特定冲突类型的潜在增加,如车道交换冲突,对于GLOSA系统的整体安全评估至关重要.
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