Monitoring ride quality on roads with existing sensors in passenger cars
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Summary
The proposed method enables infrastructure monitoring done by conventional passenger cars, which can be seen as a supplement to prevalent road measurements with cost-intensive mobile devices and demonstrate that poor ride quality can be accurately localised in a road network.
- Type
- article
- Published
- 2014-10-01
- Cited by
- 4
- References
- 16
- Access
- Open access
- OpenAlex
- https://openalex.org/W237516796
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107719300
Keywords
Ride quality, Accelerometer, Automotive engineering, GNSS applications, Road surface
References
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- The Way Forward for Pavement Performance Indicators Across Europe. COST Action 354: Performance Indicators for Road Pavements
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- Fundamentals of Vehicle Dynamics
- Support Vector Machines for Pattern Classification
- The Weighted Longitudinal Profile
- Introduction to Digital Speech Processing
- Comparison of Machine Learning Methods for Evaluating Pavement Roughness Based on Vehicle Response
- Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
- Support vector machines : theory and applications
- kernlab - An S4 Package for Kernel Methods in R
- Twin Support Vector Machines for Pattern Classification
- The Analysis of the Correlation between International Roughness Index and Body Ride Comfort
- R: A language and environment for statistical computing.
- caret: Classification and Regression Training
Cited by
- Weighted aggregation in the domain of crowd-based road condition monitoring
- Road Condition Estimation Based on Heterogeneous Extended Floating Car Data
- Intelligent Road Maintenance: a Machine Learning Approach for surface Defect Detection
- Crowd-Based Road Surface Monitoring and its Implications on Road Users and Road Authorities
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