推进道路安全战略制定:以数据为导向的多目标优化综合方法
Bosong Jiao1, Harry Evdorides1
1School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Heliyon
|January 16, 2025
概括
本研究提出了一种道路基础设施管理的新型模型,集成多目标优化和协会规则挖掘,以改善决策和资源分配,提高道路安全.
科学领域:
- 道路安全工程 道路安全工程
- 运输管理 运输管理
- 数据挖掘 数据挖掘
背景情况:
- 道路交通事故是全球主要的健康问题,在2021年造成超过119万人死亡.
- 当前的道路安全策略往往依赖于主观的专家意见.
- 需要系统的,数据驱动的方法来优化道路基础设施管理.
研究的目的:
- 引入道路基础设施管理的适应性两阶段模型.
- 尽量减少专家干预决策过程.
- 提高道路安全资源分配的效率.
主要方法:
- 整合多目标优化与关联规则挖掘.
- 使用非主导排序遗传算法 (NSGA-II).
- 采用崩数据库挖掘用于定制投资计划.
主要成果:
- 该模型在乌得勒支的一项案例研究中显示了各种目标的显著改进.
- 它使道路当局能够根据特定的网络特征定制投资计划.
- 该方法为适应性决策提供了一个系统的框架.
结论:
- 这种新型模型为优化道路基础设施管理和资源分配提供了一个系统的框架.
- 需要进一步细化,以便在风险评估中考虑道路属性的互动效应.
- 这种方法代表了数据驱动的道路安全策略的重大进步.
相关概念视频
Design Example: Alignment of a Road Line Using GIS
38
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
38
Decision Making: P-value Method
5.3K
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...
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...
5.3K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
40
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...
40
Response Surface Methodology
89
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.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
89
Decision Making: Traditional Method
4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Study Design in Statistics
7.8K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
7.8K


