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Authors: Jun-Zhi Zhang and Huei-Yung Lin

Affiliation: Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan

Keyword(s): Driving Behavior Analysis, Geographic Information System, Data Mining.

Abstract: In this paper, we present a method to extract the training and testing data from geographic information system (GIS) and global position system (GPS) for neural networks. Traffic signs, traffic lights and road information from the OpenStreetMap (OSM) and the government platform are compared with driving data and videos to extract images containing the important information. We also propose traffic improvement suggestions for intersections or roads by analyzing the relationship between driving behaviors, traffic lights, and road infrastructures. We use OBD-II and CAN bus logger to record more driving information, such as engine speed, vehicle speed, steering wheel steering angle, etc. We analyze the driving behavior using sparse automatic encoders and data exploration to detect abnormal and aggressive behavior. The relationship between the aggressive driving behavior and road facilities is derived by regression analysis, and some suggestions are provided for improving specific interse ctions or roads. (More)

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Paper citation in several formats:
Zhang, J. and Lin, H. (2021). Driving Behavior Analysis and Traffic Improvement using Onboard Sensor Data and Geographic Information. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-513-5; ISSN 2184-495X, SciTePress, pages 284-291. DOI: 10.5220/0010384102840291

@conference{vehits21,
author={Jun{-}Zhi Zhang. and Huei{-}Yung Lin.},
title={Driving Behavior Analysis and Traffic Improvement using Onboard Sensor Data and Geographic Information},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2021},
pages={284-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010384102840291},
isbn={978-989-758-513-5},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Driving Behavior Analysis and Traffic Improvement using Onboard Sensor Data and Geographic Information
SN - 978-989-758-513-5
IS - 2184-495X
AU - Zhang, J.
AU - Lin, H.
PY - 2021
SP - 284
EP - 291
DO - 10.5220/0010384102840291
PB - SciTePress

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