FORECASTING MODEL OF ROAD SURFACE TEMPERATURE ALONG A ROAD NETWORK BY HEAT BALANCE METHOD
FORECASTING MODEL OF ROAD SURFACE TEMPERATURE ALONG A ROAD NETWORK BY HEAT BALANCE METHOD
复制标题
热平衡法路网沿线路面温度预测模型
DOI：
10.2208/jscejpe.69.1
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发表时间：
2013
影响因子：
--
通讯作者：
T. Fukuhara
中科院分区：
文献类型：
--
作者：
A. Saida;A. Fujimoto;T. Fukuhara
本文提出的SAFE模型可以利用需求侧向法和热平衡法对路网沿线的路面温度进行预测。通过比较兵库县Kasuga-WADAYAMA公路(12.6公里)631个选定路段(每个路段长20米)的观测热图数据和预测结果，确定了SAFF模型的准确性。基于所有路段，SAFF模型对TS的计算具有58%和86%的空间准确率，误差分别小于1°C和2°C。全程和45小时计算周期的ts的平均绝对误差为1.5°C，且夜间误差小于白天。用该算法对山体单元进行组合，并将不可见的山体单元从计算程序中剔除，所需的CPU时间仅为未加该算法时的1/23。因此，SAFF模型使得能够在一小时内预测整个Kasuga-Wadayama道路上干燥道路表面温度的空间变化。
SAFF model proposed in this study allows to forecast the road surface temperature along a road network using the DSM and heat balance method. The accuracy of the SAFF model was identified by comparing observed thermal mapping data and forecast results at 631 selected stretches (each with a length of 20m) of KASUGA-WADAYAMA road (12.6km) in Hyogo prefecture. The SAFF model had 58% and 86% of spatial accuracy rate for the calculation of Ts with an error of less than 1°C and 2°C based on all road stretches, respectively. The mean absolute error of Ts over the entire route and calculation term of 45 hours was 1.5°C and the error was smaller during the nighttime than the daytime. CPU time with an algorithm to combine mountain elements and to remove invisible mountain elements from calculation routine was reduced to 1/23 of that without the algorithm. Consequently, the SAFF model made it possible for one hour forecast of the spatial variation in dry road surface temperature over the entire KASUGA-WADAYAMA road.