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相关概念视频

Design Example: Alignment of a Road Line Using GIS01:17

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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智能交通网络中信号交叉点的多目标优化方法.

Xinghui Zhang1,2, Xiumei Fan1, Shunyuan Yu2

  • 1Department of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.

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|July 29, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了城市十字路口交通信号的新优化方法,在没有新基础设施的情况下,将延误减少30%以上. 这种新的方法平衡了交通效率和更顺的城市流动能力.

关键词:
这是NSGA-III.拒绝使用自动编码器.智能运输是一种智能运输.多目标优化多目标优化有信号的交叉点交叉点.

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科学领域:

  • 交通工程是交通工程.
  • 优化算法 优化算法
  • 城市规划 城市规划

背景情况:

  • 城市十字路口是交通拥堵的主要来源,需要有效调节交通流量.
  • 有效的信号定时对于城市交通运营至关重要,需要强大的交通模型和优化算法.

研究的目的:

  • 为信号交叉路口开发先进的优化方法,以提高交通效率.
  • 将一个多目标模型与一个新的NSGAIII-DAE算法集成,以解决复杂的交通动态.

主要方法:

  • 构建了一个多目标模型,包括信号控制延迟,交通容量和右转车辆的冲突延迟.
  • 采用无音自动编码器 (DAE) 来为NSGA-III算法创建高维搜索空间的紧表示.
  • 在压缩空间中执行遗传操作,将其映射回原始空间,以平衡本地和全球搜索.

主要成果:

  • 实现了信号控制延迟 (高达33.7%) 和冲突延迟 (高达31.3%) 的显著降低.
  • 与当前方案相比,交通容量提高了11.5%,尽管容量值低于比较算法的容量值.
  • 证明了交通效率的提高和交通效率和交叉路口容量之间更好的平衡.

结论:

  • 拟议的NSGAIII-DAE算法有效地优化了城市十字路口的信号定时.
  • 该方法成功地平衡了交通效率和容量,而不需要额外的基础设施.
  • 通过对真实交通数据进行数值实验来验证,与现有方法相比显示了显著的改进.