Driving-Pattern Identification and Event Detection Based on an Unsupervised Learning Framework: Case of a Motorcycle-Riding Simulator
Analysis of human driving behavior aims to inspect drivers’ behavior in the real-world and in a virtual environment. The study of driving behaviors can be conducted in naturalistic situations or controlled experiments. Analyzing driving behaviors based on the data collected in naturalisti...
Main Authors: | Mohamed Yacine Bouaouni, Rayane Ait Ali Yahia, Abderrahmane Boubezoul |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9625971/ |
Similar Items
-
Unsupervised Segmentation of Human Manipulation Movements Into Building Blocks
by: Lisa Gutzeit, et al.
Published: (2022-01-01) -
Effect of the Rise in Online Motorcycle Taxi Services on the Number of Motorcycles using the Interrupted Time Series Method
by: Yovita Fabriska Laras Anindityas, et al.
Published: (2021-10-01) -
TCAD: Unsupervised Anomaly Detection Based on Global Local Representation Differences
by: Yaqiong Duan, et al.
Published: (2022-01-01) -
Unsupervised Anomaly Detection for Energy Consumption in Time Series using Clustering Approach
by: Jesmeen M. Z. H., et al.
Published: (2021-12-01) -
Incidence of musculoskeletal disorders in police officers riding motorcycles while on duty
by: Aleksandra Matysiak, et al.
Published: (2020-03-01)