城市层面的停车场的时空空间聚类,以有效地共享占用预测模型
Miratul Khusna Mufida1,2, Abdessamad Ait El Cadi1, Thierry Delot1
1Laboratoire d'Automatique, de Mecanique et d'Informatique Industrielles et Humaines (LAMIH)-UMR CNRS 8201, Universite Polytechnique Hauts de France (UPHF) Mont Houy, 59313 Valenciennes, France.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
这项研究引入了一种新的集群方法,根据行为对停车场进行分组,使自动驾驶汽车能够高效准确地预测占用率. 这种方法降低了成本,并提高了模型在不同停车场的可转移性.
科学领域:
- 人工智能的人工智能
- 城市规划 城市规划
- 运输工程 运输工程
背景情况:
- 用于预测停车位占用率的深度学习模型对于个别场地有效,但需要大量资源.
- 将这些模型扩展到整个城市是计算密集型的,每个停车场都需要大量的数据.
研究的目的:
- 为自动驾驶汽车开发准确和高效的城市级停车位占用率预测模型.
- 为了降低部署停车位占用模型的计算成本和数据要求.
- 提高停车位占用预测模型在不同停车场的可转移性和适用性.
主要方法:
- 开发了一种新的两步聚类技术,根据时空模式对停车场进行分组.
- 确定并用于集群的停车场配置文件,捕捉空间和时间特征.
- 预测模型使用实时数据在集群的停车场上进行训练.
主要成果:
- 集群策略有效地根据其独特的时空行为对停车场进行了分组.
- 实现了很高的相关率:空间维度为86%,时间维度为96%,组合维度为92%.
- 这种方法显著降低了模型部署成本,并提高了模型的适用性.
结论:
- 拟议的集群技术为城市级停车位占用率预测提供了有效的解决方案.
- 这种方法增强了模型转移学习能力,使其适用于各种停车场.
- 这些发现支持将智能运输系统集成到自动驾驶车辆导航中.
相关概念视频
Probability Histograms
11.8K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
11.8K
Residuals and Least-Squares Property
7.4K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K
Levels of Use of a GIS
72
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
72
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
74
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
74
Scatter Plot
7.1K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
7.1K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
99
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
99


