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Driving Style Identification with Unsupervised Learning

2016
One way to optimise insurance prices and policies is to collect and to analyse driving trajectories: sequences of 2D-points, where time distance between any two consequitive points is a constant. Suppose that most of the drivers have safe driving style with similar statistical characteristics.
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Driving Style Clustering using Naturalistic Driving Data

Transportation Research Record: Journal of the Transportation Research Board, 2019
Knowledge of driving styles may contribute to traffic safety, riding experience, and support the design of advanced driver-assistance systems or highly automated vehicles. This study explored the possibility of identifying driving styles directly from driving parameters using data from the Strategic Highway Research Program 2 database.
Kuan-Ting Chen, Huei-Yen Winnie Chen
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Autonomous driving with an agent

Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, 2019
A driving agent can be an effective interface to interact with drivers to increase trust towards the autonomous driving vehicle. While driving research on agent has mostly focused on the voice-agent, little empirical findings on the robot-agent were reported. In the present study, we compared three different agents (informative voice-agent, informative
Seul Chan Lee   +3 more
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Couple similarity for driving style

Transportation Research Part F: Traffic Psychology and Behaviour, 2006
Though gender differences in driving habits and behaviors are well documented, the similarity between couples for such behaviors has received little or no attention. This study examined the associations between 413 pairs of intimate partners who completed the multidimensional driving style inventory, a self-report scale which assesses four broad ...
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Absolute driving style estimation for ground vehicles

2017 IEEE Conference on Control Technology and Applications (CCTA), 2017
This paper proposes a method for a real-time classification of the absolute driving style using three levels of sportiveness: calm, normal and sporty. The algorithm is based on a physical gg-plot-based approach and on a novel manouvre detection algorithm. The method makes use of standard vehicle signals which can be also provided by an external IMU+GPS
COLOMBO, TOMMASO   +3 more
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A Fully Unsupervised Framework for Scoring Driving Style

2018 International Conference on Intelligent Systems (IS), 2018
Rating driving performance is a challenging topic. It attracts professionals from a variety of domains such as automotive industry and insurance companies. In this work, we propose a fully unsupervised driver scoring framework using a minimalistic dataset which is composed of Global Positioning System (GPS) and Controller Area Network (CAN Bus) data ...
Ozan Firat Özgül   +4 more
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THE IMPACT OF NEUROTICISM ON DRIVING STYLE

Materials of the National Scientific and Practical Conference « THE FUTURE OF SCIENCE: INNOVATION AND INTERDISCIPLINARY RESEARCH »
The study explores the impact of neuroticism on driving style and road safety, identifying risks and behavioral factors.
K. Zakurdaeva   +5 more
openaire   +1 more source

Investigating the Effects of Automated Driving Style and Driver Driving Style on Drivers’ Perception of Automated Driving Indicators

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022
Zheng Ma, Yiqi Zhang
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A Workshop on Driving Style of Automated Vehicles in Ambiguous Driving Scenarios

Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2022
Seul Chan Lee   +6 more
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Cognitive Driving Data Visualization and Driving Style Transfer

2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2021
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