城市走廊的宏观基本图的分析近似图与混合的人类和连接和自主交通
Guojing Hu1, Weike Lu2, Robert W Whalin3
1Department of Mathematics and Statistical Sciences Jackson State University Jackson Mississippi USA.
概括
本研究引入了一个新的城市走廊容量的模型,考虑连接和自动驾驶汽车 (CAV). 结果表明,CAV可以根据其反应时间和排的行为增加或减少容量.
科学领域:
- 运输工程 运输工程
- 交通流理论的流量理论.
- 智能运输系统 智能运输系统
背景情况:
- 互联和自动驾驶汽车 (CAV) 承诺将彻底改变交通系统.
- 对于交通运营商来说,了解CAV对城市走廊性能的影响至关重要.
- 混合交通环境,包括人类驾驶和自动驾驶的车辆,带来了独特的挑战.
研究的目的:
- 为混合交通的城市走廊开发分析能力模型.
- 为了结合不同级别的CAV透和不同的车辆反应时间.
- 分析CAV中队强度对走廊容量的影响.
主要方法:
- 利用宏观基本图概念进行容量建模.
- 开发了一个模型,用于计算CAV透率的全部频谱.
- 形成的CAV中队强度作为透率的指数函数.
- 进行了数值实验和VISSIM 2020模拟以验证.
主要成果:
- 不同的反应时间设置对走廊容量产生了显著不同的结果.
- 一些场景显示,单调增长的容量与更高的CAV透率.
- 其他情景表明,随着CAV透率的增加,走廊容量下降.
- 通过模拟测试证实了模型的有效性.
结论:
- 拟议的分析模型为评估CAV对城市走廊的影响提供了一个框架.
- 车辆反应时间是影响CAV的容量效益的关键因素.
- 需要进一步的研究来优化CAV集成,以最大限度地提高运输系统的效率.
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