一个复杂的大圆圈交通流的三阶段蜂自动机模型,具有流量效率和安全性增强策略
Xiao Liang1, Chuan-Zhi Thomas Xie2, Hui-Fang Song1
1School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430205, China.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
智能交通系统 (ITS) 通过驾驶行为传感器来改善交通管理. 一个新的三级蜂自动机 (TSCA) 模型和优化策略提高了环形交通的效率和安全性.
科学领域:
- 交通工程是交通工程.
- 智能运输系统 (ITS) 是一种智能运输系统.
- 计算机建模 计算建模
背景情况:
- 智能交通系统 (ITS) 通过先进的传感器和实时通信提供了增强的交通管理.
- 准确的驾驶行为模型和可靠的测试对于实施有效的ITS策略至关重要,特别是在像大型环路这样的复杂场景中.
研究的目的:
- 开发和验证大型环形车道的驾驶行为模型.
- 通过模拟提出和评估使用环形车道的交通优化策略.
主要方法:
- 开发了三阶段蜂自动机 (TSCA) 模型,将圆形路径分为入口,后续和出口阶段.
- 根据经验观察和模拟结果制定四种优化策略.
- 使用关键指标进行评估:交通效率,延误时间和危险互动频率.
主要成果:
- 危险的相互作用和延误在路面占用率 (ρ) 为0.120.24时达到顶峰,与车辆速度下降相关.
- 基于道路占用率识别策略 (模拟4) 的路径选择显著提高了交通效率15.65%,并减少了延误和危险的相互作用.
- 入口设施优化策略 (模拟1) 减少了6.90%的延迟时间,而基于空间的策略提高了当地交通效率约25.04%.
结论:
- 该TSCA模型为模拟和分析道交通动态提供了一个强大的框架.
- 优化策略,特别是考虑道路占用率的策略,可以大大提高环形交通流量和安全性.
- 与这些策略集成的车载传感器可以检测不合规情况,并为改善交通管理提供实时驾驶员指导.
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