使用无人机视频在信号交叉点实时冲突风险:一个随机参数逻辑模型,具有平均值和方差异性的异质性
1Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.
Accident; analysis and prevention
|August 16, 2024
概括
本研究引入了一个实时模型,用于预测信号交叉点的碰撞风险,特别是摩托车和车辆冲突. 研究结果有助于制定交通信号定时和管理策略,以提高交叉路口的安全性.
科学领域:
- 交通工程是交通工程.
- 运输安全运输安全
- 计算机视觉 计算机视觉
背景情况:
- 信号交叉路口是由于驾驶员错误和交通冲突而具有高风险的环境.
- 混合交通的存在,特别是摩托车,预计将增加碰撞风险.
- 现有的模型可能无法充分解决车辆与摩托车相互作用的复杂性.
研究的目的:
- 开发一个实时预测模型,用于冲突风险,涉及摩托车和非摩托车在信号交叉点.
- 分析导致车辆与车辆,车辆与摩托车冲突的因素.
- 为了提高安全性,为交通信号定时和管理策略提供信息.
主要方法:
- 利用高分辨率无人机视频数据,通过计算机视觉提取车辆和摩托车的轨迹.
- 使用多项逻辑和随机参数模型来评估冲突倾向.
- 考虑了各种冲突类型:后端,角度和正面.
主要成果:
- 车辆冲突风险与车辆的速度,加速度和冲突类型有关.
- 车辆与摩托车冲突的风险与车辆的速度,加速度,摩托车的侧向速度,冲突类型以及到绿信号的时间有关.
- 使用随机参数模型来解决未观察到的异质性.
结论:
- 开发的模型提供了对影响交叉路口安全的因素的见解,特别是在摩托车方面.
- 这些发现支持优化交通信号计划,以减轻潜在的撞车事故.
- 改进的交通管理策略可以降低涉及混合交通的信号交叉点的风险.
相关概念视频
Random Error
849
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
849
Random Variables
11.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
11.5K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
41
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...
41
Randomized Experiments
6.8K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
6.8K
Variability: Analysis
135
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
135
Probability Histograms
11.1K
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.
11.1K


