Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (6): 1746-1755.doi: 10.13229/j.cnki.jdxbgxb.20221353

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Pavement surface temperature monitoring method based on gridding approach

Zhuang-zhuang LIU1,2(),Wen-qing ZHENG1,Jian ZHENG1,3,Yi-zheng LI1,Peng-yu JI1,Ai-min SHA1,2   

  1. 1.School of Highway，Chang'an University，Xi'an 710064，China
    2.Key Laboratory of Highway Engineering in Special Region，Ministry of Education，Chang'an University，Xi'an 710064，China
    3.Shenzhen Branch，Wuhan Iron & Steel Design & Research Institute，Shenzhen 518028，China
  • Received:2022-10-23 Online:2023-06-01 Published:2023-07-23

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Abstract:

In order to realize high-precision prediction of road surface temperature， considering the influence of the road environment and the characteristics of the road structure in the longitudinal direction， a gridding monitoring method for dividing the asphalt pavement road surface temperature of the weather type was proposed， and conducted data mining and analysed based on a large amount of measured data of the test road section. Two perceptual network models （Euclidean distance model and correlation distance model） were established according to the logic of two different distance functions of the hierarchical clustering algorithm， the prediction accuracy of the model was validated by the measured data， and the evaluation and comparison of performance of the models were carried out by the mean absolute error （MAE）， root mean square error （RMSE） and mean absolute percentage error （MAPE）， based on which the applicability of the two models was discussed. By comparing estimated value and measured value， the results show that the gridding monitoring method proposed is sensitive to weather condition， the MAPE of the models is less than 5% on cloudy and overcast weather， and the maximum MAPE is 5.43% on clear weather. The RMSE of the model reach maximum value of 1.2 ℃ in clear weather and is less than 1 ℃ in other weather condition.

Key words: road engineering, pavement surface temperature, sensing gridding, clustering algorithm

CLC Number: 

  • U416.2

Fig.1

Schematic diagram of the road domain environment grid"

Fig.2

Implementation path of the meshed perception model"

Fig.3

Schematic diagram of clustering threshold search principle"

Fig.4

Schematic diagram of truncation threshold selection"

Fig.5

Road surface temperature observation segments and meshing"

Table 1

Variance of each unit"

天气模式单元1单元2单元3单元4单元5单元6单元7单元8单元9单元10
中性1.1710.5840.5831.0720.4790.7890.8690.7070.9151.118
极端0.6240.3800.3950.9560.2550.2940.4210.3820.3591.010
抑制2.1481.3811.5001.9751.3681.7311.6041.4681.6842.151

Fig.6

Clustering of cloudy weather"

Fig.7

Clustering of clear weather"

Fig.8

Clustering of overcast weather"

Fig.9

Deviation diagram of Euclidean distance model"

Fig.10

Euclidean distance model error"

Fig.11

Deviation diagram of correlation coefficient model"

Fig.12

Correlation coefficient model error"

Fig.13

Errors comparison of each model under different weather conditions"

Table 2

Comparison of road surface temperature prediction errors in different papers"

方法相关系数均方差/标准差均方根误差残差均值平均绝对误差平均绝对百分比误差
谈至明［12］-0.85~0.99-0.36~0.24--
庄传仪［13］0.897~0.9822.443----
杨书杰［17］--1.18~1.86---
林子静［22］0.96-1.70.09--
王可心［23］--1.09-0.68-
本文0.937~0.986-0.623~0.75-0.4813.53
1 刘状壮, 沙爱民, 蒋玮. 蓄盐沥青路面研究进展:盐化物材料、混合料及其性能与评价[J]. 中国公路学报, 2019, 32(4): 18-31.
Liu Zhuang-zhuang, Sha Ai-min, Jiang Wei. Advances in asphalt pavements containing salts:additives, mixtures,performances,and evaluation[J]. China Journal of Highway and Transport, 2019, 32(4): 18-31.
2 刘状壮, 张有为, 季鹏宇, 等. 电热型融雪沥青路面传热特性研究[J]. 吉林大学学报:工学版, 2023, 53(2): 523-530.
Liu Zhuang-zhuang, Zhang You-wei, Ji Peng-yu, et al. Study on heat transfer characteristics of electric heating snow melting[J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 523-530.
3 Kwon T J, Fu Li-ping. Spatiotemporal variability of road weather conditions and optimal RWIS density— an empirical investigation[J]. Canadian Journal of Civil Engineering, 2017, 44(9): 691-699.
4 Jin P J, Walker A, Cebelak M, et al. Determining strategic locations for environmental sensor stations with weather-related crash data[J]. Transportation Research Record, 2014(2440): 34-42.
5 Kwon T J, Fu Li-ping, Melles S J. Location optimization of road weather information system (RWIS) network considering the needs of winter road maintenance and the traveling public[J]. Computer-Aided Civil and Infrastructure Engineering, 2017, 32(1): 57-71.
6 Biswas S, Wu Ming-jian, Melles S J, et al. Use of topography, weather zones, and semivariogram parameters to optimize road weather information system station density across large spatial scales[J]. Transportation Research Record, 2019, 2673(12): 301-311.
7 Feng Feng, Fu Li-ping. Winter road surface condition forecasting[J]. Journal of Infrastructure Systems, 2015, 21(3): No. 04014049.
8 张昌利, 孟颖, 温立民, 等. 面向CPS的高速公路凝冰短时预测与主动式防冰控制[J]. 北京交通大学学报, 2017, 41(3): 47-54.
Zhang Chang-li, Meng Ying, Wen Li-min, et al. CPS-oriented short-term icing events prediction and proactive anti-ice control for highway systems[J]. Journal of Beijing Jiaotong University, 2017, 41(3): 47-54.
9 Gu Lian, Wu Ming-jian, Kwon T J. An enhanced spatial statistical method for continuous monitoring of winter road surface conditions[J]. Canadian Journal of Civil Engineering, 2020, 47(10): 1154-1165.
10 Hermansson A. Simulation model for calculating pavement temperatures including maximum temperature[J]. Pavement Management and Monitoring: Pavement Design, Management, and Performance, 2000, 1699(1): 134-141.
11 陈嘉祺, 罗苏平, 李亮, 等. 沥青路面温度场分布规律与理论经验预估模型[J]. 中南大学学报:自然科学版, 2013, 44(4): 1647-1656.
Chen Jia-qi, Luo Su-ping, Li Liang, et al. Temperature distribution and method-experience prediction model of asphalt pavement[J]. Journal of Central South University(Science and Technology), 2013, 44(4): 1647-1656.
12 谈至明, 马正军, 邹晓翎. 基于路表实测温度的路面温度场估计模型[J]. 同济大学学报:自然科学版, 2013, 41(5): 700-704.
Tan Zhi-ming, Ma Zheng-jun, Zou Xiao-ling. Pavement temperature estimation model based on field temperature data[J]. Journal of Tongji University(Natural Science), 2013, 41(5): 700-704.
13 庄传仪, 王林, 申爱琴, 等. 沥青路面路表温度预估模型研究[J]. 公路交通科技, 2010, 27(3): 39-43, 48.
Zhuang Chuan-yi, Wang Lin, Shen Ai-qin, et al. Prediction model of surface temperature of asphalt pavement[J]. Journal of Highway and Transportation Research and Development, 2010, 27(3): 39-43, 48.
14 Khan Z H, Islam M R, Tarefder R A. Determining asphalt surface temperature using weather parameters[J]. Journal of Traffic and Transportation Engineering—English Edition, 2019, 6(6): 577-588.
15 Liu Bo, Yan Shuo, You Huan-ling, et al. Road surface temperature prediction based on gradient extreme learning machine boosting[J]. Computers in Industry, 2018, 99: 294-302.
16 Tabrizi S E, Xiao K, The J V, et al. Hourly road pavement surface temperature forecasting using deep learning models[J]. Journal of Hydrology, 2021, 603: No. 126877.
17 杨书杰, 彭嫣. 基于机器学习的路表温度预估方法研究[J]. 交通科技, 2022(2): 5-8.
Yang Shu-jie, Peng Yan. Research on road surface temperature estimation method based on machine learning[J]. Transportation Science & Technology, 2022(2): 5-8.
18 Fujimoto A, Akira S, Teruyuki F, et al. Heat transfer analysis on road surface temperature near a traffic light[C]∥17th ITS World Congress, Busan, Korea, South, 2010: No. 01354757.
19 Gustavsson T. A study of air and road-surface temperature variations during clear windy nights[J]. International Journal of Climatology, 2010, 18(8): 919-932.
20 Rodriguez M Z, Comin C H, Casanova D, et al. Clustering algorithms: a comparative approach[J]. PLoS ONE, 2016, 14(1): 1-34.
21 Trevor H, Robert T, Jerome F. The Elements of Statistical Learning[M]. Berlin: Springer-verlag, 2003.
22 林子静, 胡继超, 朱承瑛. 高速公路路面夜间逐时温度预报方法研究[J]. 公路交通科技, 2021, 38(8): 23-29.
Lin Zi-Jing, Hu Ji-chao, Song Cheng-ying. A method for forecasting hourly expressway surface temperature during night time[J]. Journal of Highway and Transportation Research and Development, 2021, 38(8): 23-29.
23 王可心, 包云轩, 朱承瑛, 等. 随机森林回归法在冬季路面温度预报中的应用[J]. 气象, 2021, 47(1): 82-93.
Wang Ke-xin, Bao Yun-xuan, Zhu Cheng-ying, et al. Forecasts of road surface temperature in winter based on random forests regression[J]. Meteorological Monthly, 2021, 47(1): 82-93.
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