Lin, H.-Y.; Zhang, J.-Z.; Chang, C.-C. Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data. Electronics2023, 12, 2989.
Lin, H.-Y.; Zhang, J.-Z.; Chang, C.-C. Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data. Electronics 2023, 12, 2989.
Lin, H.-Y.; Zhang, J.-Z.; Chang, C.-C. Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data. Electronics2023, 12, 2989.
Lin, H.-Y.; Zhang, J.-Z.; Chang, C.-C. Image Data Extraction and Driving Behavior Analysis Based on Geographic Information and Driving Data. Electronics 2023, 12, 2989.
Abstract
This paper proposes an approach for image data extraction and driving behavior analysis using 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 used to derive the relationship between aggressive driving behavior and road facilities. Several traffic improvements were proposed for specific intersections and roads. The results indicate that lane ratios without lane markings and with straight lane markings are important features that affect aggressive driving behaviors.
Keywords
image data extraction; driving behavior analysis; geographic information system; global position system
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
