S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Compact Weather Sensor Node for Predicting Road Surface Temperature

Taeyoon Eom, Yongsu Kwon, and Hyoungho Ko

(Received April 17, 2020; Accepted April 22, 2021)

Keywords: road surface temperature, winter road forecast, weather sensor node

We propose a compact road weather sensor node to predict the road surface temperature. This node is based on the model of the environment and temperature of roads (METRo) developed by the Government of Canada. The model requires an atmospheric forecast, the station configuration, and observation information as inputs. Observation data have commonly been produced by a road weather information system (RWIS), but this system is larger than necessary, and it has been difficult to maintain the surface sensors embedded on roads. We experimentally determined that the air and surface temperatures are key parameters for the model to predict the surface temperature. The proposed node was designed to be compact with an integrated environmental sensor for measuring atmospheric parameters and an infrared non-contact thermometer to obtain the surface temperature. In field tests with the prototype, we verified the good observation performance of the infrared remote sensor by using a standard instrument for measuring the surface temperature. The results of the model based on data obtained by the prototype also showed excellent predictive performance during nighttime. This weather sensor node uses long range (LoRa) technology, which makes it suitable for long-range, low-power, and low-data-rate performance, suggesting the possibility of its commercialization.

Corresponding author: Hyoungho Ko




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