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相关概念视频

Transformers in Distribution System01:27

Transformers in Distribution System

124
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
124
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.3K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

176
In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
176
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

236
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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相关实验视频

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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CCGN:集中式协作图形变压器多代理强化学习,用于多交叉点信号自由走廊.

Hamza Mukhtar1, Adil Afzal1, Sultan Alahmari2

  • 1XeroAI, G.T. Road, Lahore, 54890, Punjab, Pakistan; University of Engineering and Technology (UET), Lahore, GT, Road, Lahore, 54890, Punjab, Pakistan.

Neural networks : the official journal of the International Neural Network Society
|August 7, 2023
PubMed
概括

本研究介绍了一个集中式协作图形网络 (CCGN),用于创建无信号交通走廊. 通过使十字路口能够共享信息和协作,CCGN可以减少交通拥堵并提高旅行效率.

关键词:
协作交叉点信号控制协作协作式的交通信号控制图表 卷积网络 卷积网络智能运输是一种智能运输.马尔科夫决策过程中的决策过程.多代理集中的强化学习多代理集中的强化学习

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科学领域:

  • 人工智能的人工智能
  • 交通工程是交通工程.
  • 网络科学 网络科学

背景情况:

  • 目前用于交通信号控制的多代理增强学习模型遭受了局部优化,导致交通流量效率低下和旅行时间增加.
  • 这些模型缺乏交叉路口之间的通信和适应动态交通条件的适应性,因此需要采用更综合的方法.

研究的目的:

  • 为交通信号控制开发一个集中的协作图形网络 (CCGN).
  • 通过实现十字路口之间的无交通流动来实现无信号走廊.

主要方法:

  • 拟议的CCGN模型整合了地方政策网络 (LPN) 和全球政策网络 (GPN).
  • LPN使用变压器和图形卷积网络 (GCN) 进行交叉级别的动作预测.
  • GPN使用GCN和Q-network来管理交叉点,并促进无信号走廊,其特定的实现称为深度图形卷积Q-Network (DGCQ).

主要成果:

  • CCGN模型,特别是DGCQ,在创建无信号交通走廊方面表现出卓越的性能.
  • 对现实世界交通网络的评估表明,拟议的模型优于现有的最先进的方法.
  • 该系统有效地利用GCN进行交叉协作和DQN进行信息聚合.

结论:

  • 集中的协作图形网络 (CCGN) 在交通信号控制方面取得了重大进展.
  • 这种方法有效地减少了交通拥堵,并通过创建无信号走廊来提高旅行效率.
  • 该模型的适应和跨十字路口协作能力为复杂的交通场景提供了强大的解决方案.