Factors Influencing Pavement Friction during Snowstorms

暴风雪 结冰 环境科学 冻雨 除雪 路面 碎片 降水 气象学 工程类 土木工程 地理
作者
Ahmed Abohassan,Karim El‐Basyouny,Tae J. Kwon
出处
期刊:Journal of Cold Regions Engineering [American Society of Civil Engineers]
卷期号:37 (3) 被引量:3
标识
DOI:10.1061/jcrgei.creng-671
摘要

Operating an effective winter road maintenance program is a necessity for cities that face severe winter seasons. Snowstorms leave roads in a slippery surface condition that disrupts traffic flows and compromises drivers’ safety. Decision-makers use a variety of tools to control snow and ice on the roads, which include applying anti-icing chemicals before snowstorms, applying deicing substances on fresh snow, and clearing snow off the roads using snowplows. However, the influence of these tools on improving the overall road surface conditions has not been investigated. In this study, a location-specific and event-based framework was utilized to understand the impact of the different weather variables as well as maintenance operations on the variability of the pavement friction coefficients during snowstorms in urban environments. Using multilinear regression and ordinary least squares, friction coefficient models were calibrated. The final model was found to be a good fit for the data (R2 = 0.723). The model showed that the total precipitation during snowstorms, extremely low temperatures, and the potential for black ice formation worsen pavement friction significantly. On the other hand, plowing operations, the application of anti-icing chemicals before snowstorms, and frequent deicing operations all have a statistically significant impact on improving pavement friction. The model presented in this paper can be used to predict pavement friction on urban arterial and collector roads during snowstorms of different magnitudes, which could help the authorities in predicting the road surface conditions during forecasted snowstorms and deciding on the best course of action under these conditions.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
高高菠萝完成签到 ,获得积分10
1秒前
卡卡西完成签到,获得积分10
1秒前
mark发布了新的文献求助10
2秒前
4秒前
传奇3应助Xw采纳,获得10
5秒前
6秒前
6秒前
别闹闹发布了新的文献求助10
9秒前
幸运星发布了新的文献求助10
9秒前
CipherSage应助mark采纳,获得10
11秒前
pluto应助从容的香菇采纳,获得10
11秒前
科研通AI5应助cccyq采纳,获得10
12秒前
科研狗完成签到,获得积分10
14秒前
英俊的铭应助gs19960828采纳,获得10
15秒前
MrTStar完成签到 ,获得积分10
17秒前
淡定的惜完成签到,获得积分20
20秒前
完美世界应助fengliurencai采纳,获得10
25秒前
思源应助大面包采纳,获得10
26秒前
sandra完成签到 ,获得积分10
27秒前
iris601完成签到,获得积分10
29秒前
时笙发布了新的文献求助30
31秒前
温柔的迎荷完成签到,获得积分10
33秒前
量子星尘发布了新的文献求助10
35秒前
36秒前
36秒前
传奇3应助快乐一江采纳,获得10
37秒前
传统的纸飞机完成签到 ,获得积分10
37秒前
37秒前
37秒前
王子安应助lilila666采纳,获得10
39秒前
大面包发布了新的文献求助10
40秒前
情怀应助漫山采纳,获得10
41秒前
zzz完成签到,获得积分10
42秒前
gs19960828发布了新的文献求助10
43秒前
幸福大白发布了新的文献求助30
43秒前
脑洞疼应助jbhb采纳,获得10
47秒前
47秒前
gs19960828完成签到,获得积分10
48秒前
Younglee完成签到,获得积分10
52秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989406
求助须知:如何正确求助?哪些是违规求助? 3531522
关于积分的说明 11254187
捐赠科研通 3270174
什么是DOI,文献DOI怎么找? 1804901
邀请新用户注册赠送积分活动 882105
科研通“疑难数据库(出版商)”最低求助积分说明 809174