Validation of a road surface temperature prediction model using real-time weather forecasts

Yang, Choong Heon; Yun, Dukgeun; Sung, Jung Gon

doi:10.1007/s12205-012-1649-7

Cited by 19 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…e same as that in the CoLM, soil is also divided into 10 layers. For layers 1-5, the material was set as asphalt; the road surface roughness length was set as 0.01 m; the albedo was set as the darkest soil, which in the IUM is 0.05 for visible solar radiation and 0.1 for near-infrared solar radiation; the density, heat capacity, and heat conductivity were set as 1800 kg·m −3 , 1760000 J·m −3 ·K −1 , and 0.756 W·m −1 ·K −1 , respectively [32,33], and the depth of these five layers was approximately 0.212 m. For layers 6-10, the material is set as soil. Because no evaporation occurs when the impervious surface is dry, we chose a period with rainfall to perform the validation.…”

Section: Model Configuration For the Road Sites In Beijingmentioning

confidence: 99%

Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model

Meng

Zhang

2019

Advances in Meteorology

View full text Add to dashboard Cite

Land surface evaporation is not only an important parameter in natural land surface modeling, but a crucial important parameter in urban hydrology modeling. A whole-layer soil evaporation scheme was developed in the integrated urban land model (IUM) to improve the soil evaporation simulation. e impervious surface evaporation (ISE) was used as a component of urban water balance equation. In this paper, the integrated urban land model was validated at one desert site and six urban road sites to emphasize the improvement in the evaporation simulations for arid and urban areas. A sensitivity analysis was implemented in seven basins to expand the utility of the whole layer soil evaporation scheme. For the urban road sites, the validation results indicate that imperious surface evaporation (ISE) plays a crucial role in road surface temperature (RST) simulations on rainy days. For the desert site, the validation results show that the inner layer evaporation is very important in arid regions. For the basins, the analysis results indicate that the relative monthly mean differences in the evapotranspiration (ET) between the simulations with (IUM) and without (Common Land Model (CoLM)) considering the inner layer evaporation range from −8% to 8%, which is proportional to the degree of dryness. In arid areas, especially deserts, the inner layer soil evaporation could not be neglected.

show abstract

Section: Model Configuration For the Road Sites In Beijingmentioning

confidence: 99%

Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model

Meng

Zhang

2019

Advances in Meteorology

View full text Add to dashboard Cite

show abstract

“…Road weather models typically predict the road surface temperature and the amount of snow, ice or water on the surface, and in some cases also friction and driving condition (Juga et al, 2013;Kangas et al, 2015). Regional road weather models have been developed in several countries to improve the regional accuracy (Chapman et al, 2001;Crevier & Delage, 2001;Fujimoto et al, 2012;Jacobs & Raatz, 2007;Kangas et al, 2015;Yang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Climate change impacts on future driving and walking conditions in Finland, Norway and Sweden

et al. 2022

View full text Add to dashboard Cite

Road weather is a major concern for the public safety and health, industries and transport sectors. Half of the yearly 27,000 road and 50,000 pedestrian injuries in Finland, Norway and Sweden can be traced back to slippery road and walkway conditions. We simulated the climate change impacts on future roads and walkways for mid- and end-century in Finland, Norway and Sweden with the road weather model RoadSurf, driven by the regional climate model HCLIM38 with boundary data from two global climate models following the RCP8.5 scenario.Our simulations for mid-century suggest strong road surface temperature increases, especially in southern Finland (+ 5.1 °C) and Sweden (+ 7.1 °C). Snowy and icy road surface conditions decreased by 23 percentage points, causing 18.5 percentage points less difficult driving conditions during the cold season. Zero-degree-crossing days mostly decreased in autumn and spring by up to 7 days and increased in winter by up to 5 days. Sidewalks mostly showed a decrease in slipperiness, but a five percentage point increase of water above ice layers on the sidewalks in winter, suggesting the slip-season might become shorter, but more slippery.Our results are upper extreme estimates but can serve as a reference to help local decision-makers plan mitigation and adaptation measures ahead of time.

show abstract

“…Bu nedenle, gözlem araçlarını kullanarak yol koşullarının izlenmesi için, yani karayolu hava durumu bilgi sistemi ve karayolu hava durumu bilgi sistemi üzerinden güvenli sürüş bilgileri sağlamak için akıllı ulaşım sistemi üzerine çeşitli çalışmalar yapılmıştır [7][8][9]. Yol kenarlarında kurulan hava gözlem cihazlarından toplanan görüntü verilerini ve yol yüzeylerindeki yüzey sensörlerini kullanarak yol koşullarını belirlemeye yönelik çalışmalar aktif olarak sürdürülmektedir [10][11][12]…”

Section: Gi̇ri̇ş (Introduction)unclassified

Buzlanma Tahmini Yapan Mobil Uygulama Geliştirilmesi

2021

View full text Add to dashboard Cite

Soğuk hava ve ağır kış şartları, yollarda buzlanmaya sebep olmakta ve bu nedenle her yıl birçok ölümlü, yaralanmalı ve maddi hasarlı kaza meydana gelmektedir. Bu çalışmada yollardaki buzlanmadan kaynaklı kazaların önlenmesine yönelik bir buzlanma tahmin algoritması ve mobil uygulama geliştirilmiştir. Geliştirilen uygulama ile sürücülerin güzergâhları doğrultusunda buzlanma oluşumu ile ilgili ön bilgi verilmesi amaçlanmaktadır. Çalışmada yol durum sensörü ve hava istasyonlarından alınan sıcaklık, çiğ noktası, hissedilen sıcaklık, rüzgâr şiddeti, rüzgâr yönü, bağıl nem, rüzgâr hızı giriş parametreleri olarak kullanılmıştır. Çıkışta ise buzlanma bilgisi ile ikili sınıflandırma yapılmıştır. Sistemin eğitimi tamamlandıktan sonra meteorolojiden hava durumu tahmin bilgisi alınarak, geliştirilen mobil uygulama üzerinde gelecek 12 saat için buzlanma tahmini yapılmaktadır. Ayrıca geliştirilen sistemin doğruluğunu ölçmek ve karşılaştırma yapabilmek için sınıflandırma alanında en çok kullanılan yöntemlerden çok katmanlı algılayıcı (ÇKA) sinir ağı modeli ile doğrusal ve doğrusal olmayan destek vektör makineleri (DVM) yöntemleri kullanılmıştır. Çalışmada kullanılan algoritmaların sınıflandırma doğruluğuna bakıldığında, toplam doğru sınıflandırılan örnek sayısı temel alındığında ÇKA modelinin %87,26 doğruluk oranı ile en iyi sonucu verdiği, ardından %86,32 ile doğrusal DVM modelinin geldiği önerilen modelimizin ise %75,47 doğruluk oranına sahip olduğu görülmüştür. Ancak geliştirilen tahmin algoritmasında sınıflandırma doğruluğu diğerlerine kıyasla daha az olmasına rağmen eğitimde kullanılan örnek sayısı arttıkça, buzlanma tahmin doğruluğunun da doğru orantılı olarak arttığı gözlemlenmiştir.

show abstract

Validation of a road surface temperature prediction model using real-time weather forecasts

Cited by 19 publications

References 7 publications

Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model

Local and Regional Scale Evaluation of the Integrated Urban Land Model by Comparing with the Common Land Model

Climate change impacts on future driving and walking conditions in Finland, Norway and Sweden

Buzlanma Tahmini Yapan Mobil Uygulama Geliştirilmesi

Contact Info

Product

Resources

About