Geospatial Simulation System of Mountain Area Black Ice Accidents
As the development of mountain areas has recently increased in Korea, existing roads are being renovated, and new highways are being constructed, which increases driving speeds in mountainous areas. However, the mountainous region in northeastern Korea is more likely to form black ice due to higher...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/11/5709 |
| _version_ | 1827665501770219520 |
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| author | Jae-Kang Lee Yong Huh Jisoo Park |
| author_facet | Jae-Kang Lee Yong Huh Jisoo Park |
| author_sort | Jae-Kang Lee |
| collection | DOAJ |
| description | As the development of mountain areas has recently increased in Korea, existing roads are being renovated, and new highways are being constructed, which increases driving speeds in mountainous areas. However, the mountainous region in northeastern Korea is more likely to form black ice due to higher humidity, frequent fog, and hillshade, depending on the terrain, which can cause serious traffic pileups. In this study, therefore, we present a method to build a more effective black ice prediction and warning system by linking spatial information to the existing road management system that estimates the road surface temperature based on real-time weather information. The spatial information enabled a prediction to be made of the risk level of black ice formation for each time zone by simulating changes in the shadow area based on precise 3D terrain information. Moreover, this information also presented slope and curvature information of the road to estimate the risk zone. The spatial information was integrated with weather data to predict road surface temperature. The proposed system was tested in two mountainous regions with weather data accumulated from 2017 to 2018. As a result, the proposed system anticipated 71% of traffic accidents caused by black ice during the testing period. The results show that the system can contribute significantly to preventing black-ice-related traffic accidents by providing reasonable predictions. |
| first_indexed | 2024-03-10T01:29:02Z |
| format | Article |
| id | doaj.art-bd20e59aebd146f78bac5706bac76cfd |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:29:02Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-bd20e59aebd146f78bac5706bac76cfd2023-11-23T13:46:33ZengMDPI AGApplied Sciences2076-34172022-06-011211570910.3390/app12115709Geospatial Simulation System of Mountain Area Black Ice AccidentsJae-Kang Lee0Yong Huh1Jisoo Park2Department of Future Technology and Convergence Research, Korea Institute of Civil Engineering & Building Technology, Goyang 10223, KoreaGeospatial Enabled Society Research Division, Korea Research Institute for Human Settlement, Sejong 30147, KoreaSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USAAs the development of mountain areas has recently increased in Korea, existing roads are being renovated, and new highways are being constructed, which increases driving speeds in mountainous areas. However, the mountainous region in northeastern Korea is more likely to form black ice due to higher humidity, frequent fog, and hillshade, depending on the terrain, which can cause serious traffic pileups. In this study, therefore, we present a method to build a more effective black ice prediction and warning system by linking spatial information to the existing road management system that estimates the road surface temperature based on real-time weather information. The spatial information enabled a prediction to be made of the risk level of black ice formation for each time zone by simulating changes in the shadow area based on precise 3D terrain information. Moreover, this information also presented slope and curvature information of the road to estimate the risk zone. The spatial information was integrated with weather data to predict road surface temperature. The proposed system was tested in two mountainous regions with weather data accumulated from 2017 to 2018. As a result, the proposed system anticipated 71% of traffic accidents caused by black ice during the testing period. The results show that the system can contribute significantly to preventing black-ice-related traffic accidents by providing reasonable predictions.https://www.mdpi.com/2076-3417/12/11/5709mountain area roadrapid black ice warningspatial information systemweather information system |
| spellingShingle | Jae-Kang Lee Yong Huh Jisoo Park Geospatial Simulation System of Mountain Area Black Ice Accidents Applied Sciences mountain area road rapid black ice warning spatial information system weather information system |
| title | Geospatial Simulation System of Mountain Area Black Ice Accidents |
| title_full | Geospatial Simulation System of Mountain Area Black Ice Accidents |
| title_fullStr | Geospatial Simulation System of Mountain Area Black Ice Accidents |
| title_full_unstemmed | Geospatial Simulation System of Mountain Area Black Ice Accidents |
| title_short | Geospatial Simulation System of Mountain Area Black Ice Accidents |
| title_sort | geospatial simulation system of mountain area black ice accidents |
| topic | mountain area road rapid black ice warning spatial information system weather information system |
| url | https://www.mdpi.com/2076-3417/12/11/5709 |
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