Powered Two-Wheelers Right-Hand Curve Negotiation Study Using Segmentation and Data Mining Approaches
Author:
Affiliation:
1. TS2/SATIE/MOSS, Université Gustave Eiffel, Champs-sur-Marne, France
2. Cosys-Grettia, Université Gustave Eiffel, Champs-sur-Marne, France
3. SATIE/MOSS, Université Paris-Saclay, ENS Paris-Saclay, CNRS, SATIE, Gif-sur-Yvette, France
Funder
ANR Agency in VIROLO++ Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10057093/09954272.pdf?arnumber=9954272
Reference34 articles.
1. Rider model identification using dynamic neural networks
2. Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data
3. Negotiating Left-Hand and Right-Hand Bends: A Motorcycle Simulator Study to Investigate Experiential and Behaviour Differences Across Rider Groups
4. Rider model identification: neural networks and quasi‐LPV models
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1. Understanding the behaviour of motorcycle riders: An objective investigation of riding style and capability;Transportation Research Interdisciplinary Perspectives;2023-11
2. Data-Driven Methodology for the Investigation of Riding Dynamics: A Motorcycle Case Study;IEEE Transactions on Intelligent Transportation Systems;2023-09
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