Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data
Driving behavior analysis has become crucial for traffic safety. In addition, more abundant driving data are needed to analyze driving behavior more comprehensively and thus improve traffic safety. This paper proposes an approach to image data extraction and driving behavior analysis that uses geogr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/13/2989 |
| _version_ | 1797591862207315968 |
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| author | Huei-Yung Lin Jun-Zhi Zhang Chin-Chen Chang |
| author_facet | Huei-Yung Lin Jun-Zhi Zhang Chin-Chen Chang |
| author_sort | Huei-Yung Lin |
| collection | DOAJ |
| description | Driving behavior analysis has become crucial for traffic safety. In addition, more abundant driving data are needed to analyze driving behavior more comprehensively and thus improve traffic safety. This paper proposes an approach to image data extraction and driving behavior analysis that uses geographic information and driving data. Information derived from geographic and global positioning systems was used for image data extraction. In addition, we used an onboard diagnostic II and a controller area network bus logger to record driving data for driving behavior analysis. Driving behavior was analyzed using sparse automatic encoders and data exploration to detect abnormal and aggressive behavior. A regression analysis was performed to derive the relationship between aggressive driving behavior and road facilities. The results indicated that lane ratios, no lane markings, and straight lane markings are important features that affect aggressive driving behaviors. Several traffic improvements were proposed for specific intersections and roads to make drivers and pedestrians safer. |
| first_indexed | 2024-03-11T01:43:25Z |
| format | Article |
| id | doaj.art-d45504b2b41749df85d885a07272e447 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T01:43:25Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-d45504b2b41749df85d885a07272e4472023-11-18T16:26:24ZengMDPI AGElectronics2079-92922023-07-011213298910.3390/electronics12132989Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving DataHuei-Yung Lin0Jun-Zhi Zhang1Chin-Chen Chang2Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Electrical Engineering, National Chung Cheng University, Chiayi 62102, TaiwanDepartment of Computer Science and Information Engineering, National United University, Miaoli 36003, TaiwanDriving behavior analysis has become crucial for traffic safety. In addition, more abundant driving data are needed to analyze driving behavior more comprehensively and thus improve traffic safety. This paper proposes an approach to image data extraction and driving behavior analysis that uses geographic information and driving data. Information derived from geographic and global positioning systems was used for image data extraction. In addition, we used an onboard diagnostic II and a controller area network bus logger to record driving data for driving behavior analysis. Driving behavior was analyzed using sparse automatic encoders and data exploration to detect abnormal and aggressive behavior. A regression analysis was performed to derive the relationship between aggressive driving behavior and road facilities. The results indicated that lane ratios, no lane markings, and straight lane markings are important features that affect aggressive driving behaviors. Several traffic improvements were proposed for specific intersections and roads to make drivers and pedestrians safer.https://www.mdpi.com/2079-9292/12/13/2989image data extractiondriving behavior analysisgeographic information systemglobal position system |
| spellingShingle | Huei-Yung Lin Jun-Zhi Zhang Chin-Chen Chang Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data Electronics image data extraction driving behavior analysis geographic information system global position system |
| title | Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data |
| title_full | Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data |
| title_fullStr | Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data |
| title_full_unstemmed | Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data |
| title_short | Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data |
| title_sort | image data extraction and driving behavior analysis based on geographic information and driving data |
| topic | image data extraction driving behavior analysis geographic information system global position system |
| url | https://www.mdpi.com/2079-9292/12/13/2989 |
| work_keys_str_mv | AT hueiyunglin imagedataextractionanddrivingbehavioranalysisbasedongeographicinformationanddrivingdata AT junzhizhang imagedataextractionanddrivingbehavioranalysisbasedongeographicinformationanddrivingdata AT chinchenchang imagedataextractionanddrivingbehavioranalysisbasedongeographicinformationanddrivingdata |