Application of neural networks to forecast the number of road accidents in provinces in Poland

运输工程 2019年冠状病毒病(COVID-19) 价值(数学) 统计 计算机科学 地理 工程类 数学 医学 疾病 病理 传染病(医学专业)
作者
Piotr Gorzelańczyk
出处
期刊:Heliyon [Elsevier]
卷期号:9 (1): e12767-e12767 被引量:5
标识
DOI:10.1016/j.heliyon.2022.e12767
摘要

Many people die on the streets every year. Year after year this number is decreasing, but there are still a lot of them. Although COVID-19 has reduced the number of traffic accidents, this figure is still very high. For this reason, in order to identify the federal states with the highest number of traffic accidents and to do everything possible to minimize the analytical value and improve road safety, we will develop accident forecasts for the next few years. Need to know. The author's aim is to predict the number of road accidents by state in Poland, but this has not been done for many years. For this purpose, monthly data from police statistics on the number of traffic accidents by state in Poland were analyzed. Based on this data, a forecast of the number of traffic accidents in the next years from 2022 to 2024 was created in Statistica. A selected neural network model was used to predict the number of traffic accidents. The results show that a reduction in the number of traffic accidents on Polish roads can still be expected, but the prevalent COVID-19 confounds the results obtained. The choice of number of samples (training, testing, and validation) affects the results obtained.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
今后应助liusx123采纳,获得10
刚刚
刚刚
1秒前
星辰大海应助超文献采纳,获得10
1秒前
1秒前
长安完成签到,获得积分20
2秒前
peekaboo完成签到,获得积分10
3秒前
3秒前
zmy发布了新的文献求助10
3秒前
4秒前
lxd应助kiki采纳,获得20
4秒前
sisii发布了新的文献求助10
4秒前
无奈书包完成签到,获得积分10
5秒前
5秒前
5秒前
欣喜访旋发布了新的文献求助10
5秒前
一朵会长树的花完成签到,获得积分20
5秒前
梅TiAmo发布了新的文献求助10
6秒前
Akim应助Air采纳,获得10
6秒前
7秒前
虚幻的一一完成签到,获得积分10
7秒前
长安发布了新的文献求助10
7秒前
yuan发布了新的文献求助30
7秒前
liusx123完成签到,获得积分10
8秒前
66发布了新的文献求助10
8秒前
专一的代丝完成签到,获得积分20
8秒前
善良的一凤完成签到,获得积分10
9秒前
9秒前
爆米花应助三木采纳,获得10
9秒前
浩然发布了新的文献求助10
9秒前
10秒前
zyy应助跳跃凡桃采纳,获得10
10秒前
11秒前
11秒前
11秒前
月月完成签到,获得积分10
11秒前
小木发布了新的文献求助10
11秒前
11秒前
aka2012发布了新的文献求助10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 710
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Virulence Mechanisms of Plant-Pathogenic Bacteria 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3563968
求助须知:如何正确求助?哪些是违规求助? 3137214
关于积分的说明 9421470
捐赠科研通 2837605
什么是DOI,文献DOI怎么找? 1559926
邀请新用户注册赠送积分活动 729224
科研通“疑难数据库(出版商)”最低求助积分说明 717199