一个分析延迟模型,用于多类和无车道的交通条件
Vinaya S Mattungal1, Lelitha Devi Vanajakshi1
1Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India.
PloS one
|February 21, 2025
概括
准确的交通信号延迟估计是至关重要的. 一个新的模型通过结合车辆类型和交通流动动力学来提高多类,无车道交通的准确性.
科学领域:
- 交通工程是交通工程.
- 运输科学 运输科学
背景情况:
- 有信号的十字路口是关键基础设施.
- 估计交通延误对于绩效评估至关重要.
- 传统模型在复杂的交通条件下扎,例如多类和无车道 (MCLF) 运动.
研究的目的:
- 为信号交叉点开发一种新的延迟估计模型.
- 解决MCLF交通场景中现有模型的局限性.
- 为了提高在各种交通环境中延迟预测的准确性.
主要方法:
- 根据排队理论开发了一个新的延迟方程.
- 合并的乘用车等价值 (PCE),以计算不同车型.
- 引入了虚拟车道概念,以建模无车道的交通流.
- 假设随机到达和离开的交通流的模式.
主要成果:
- 与传统延迟模型相比,拟议的模型表现出优越的性能.
- 量身定制的方法显著提高了延迟估计的准确性.
- 该模型有效地考虑了多类车辆和无车道运动.
结论:
- 为MCLF交通条件开发了一种新的,准确的延迟估计模型.
- 考虑到特定的交通特征对于优化信号设计至关重要.
- 这些发现特别适用于印度的交通条件和类似的环境.
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