智能组织不平衡的交通数据集,用于长期的交通预测
Mustafa M Kara1, H Irem Turkmen1, M Amac Guvensan1
1Computer Engineering Department, Yildiz Technical University, Istanbul 34220, Türkiye.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
这项研究引入了新的方法来解决不平衡的交通速度数据,显著提高了预测准确性,特别是对于低速条件. 这些技术通过根据时间和速度模式组织数据来提高模型性能.
科学领域:
- 交通工程是交通工程.
- 机器学习是机器学习.
- 数据科学是数据科学.
背景情况:
- 交通速度预测对于城市效率和减少污染至关重要.
- 现有的研究往往忽视了不平衡的数据集,其中低流量速度代表性不足.
- 交通数据受到时间因素的影响,例如白天的时间和天气 (月份).
研究的目的:
- 为了应对交通速度预测中不平衡数据集的挑战.
- 开发新的数据组织技术,以改善少数阶级的代表性.
- 在各种机器学习模型中评估这些技术的有效性.
主要方法:
- 使用时间因素设计了小时制和月制模式组织技术.
- 提出了一个速度明智的组织模式策略,考虑到交通波动.
- 评估了使用长短期记忆 (LSTM),门式循环单元网络 (GRU),双向LSTM和卷积神经网络 (CNN) 的策略.
主要成果:
- GRU模型以13.51%的平均绝对百分比误差 (MAPE) 实现了最佳性能.
- 提出的方法将模型的整体准确性提高了大约4%.
- 低交通速度场景的预测准确度增加了11.2%.
结论:
- 开发的数据组织技术有效地改善了交通速度预测,特别是在不平衡的数据集.
- 这些预处理方法提高了各种机器学习模型的性能.
- 该研究提供了一种强有力的方法来解决交通预测中的数据不平衡,以改善城市移动性.
相关概念视频
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
36
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...
36
Manipulation and Analysis
17
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
17
Survival Tree
51
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
51
Social Traps
22.3K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
22.3K
Noncompartmental Analysis: Mean Residence Time
90
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
90
Selected Data About Geographic Locations
23
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
23


