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Content Provider | IET Digital Library |
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Author | Öörni, Risto |
Abstract | The demand for four intelligent vehicle safety systems (IVSSs) – emergency braking, speed alert, blind spot monitoring and lane keeping support – is analysed by constructing their demand curves (demand as a function of product price) based on data available from user interviews and a literature study. The study also provides a method for constructing linear and exponential demand curves of the systems from data gathered from user interviews. The estimated linear and exponential demand curves were tested by least-squares fitting to the data collected from user interviews. The mean absolute error was consistently larger for all of the systems studied here when using the linear instead of exponential model. This suggests that the exponential model reflects more accurately the demand for IVSSs than does the linear model. |
Starting Page | 916 |
Ending Page | 923 |
Page Count | 8 |
ISSN | 1751956X |
Volume Number | 9 |
e-ISSN | 17519578 |
Issue Number | Issue 10, Dec (2015) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/9/10 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0200 |
Journal | IET Intelligent Transport Systems |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2015-12-01 |
Access Restriction | Open |
Rights License | Creative Commons Attribution-No Derivs License (http://creativecommons.org/licenses/by-nd/3.0/) |
Subject Keyword | Blind Spot Monitoring Emergency Braking Europe Exponential Model Intelligent Transport System Intelligent Vehicle Safety System Demand Interpolation And Function Approximation Lane Keeping Support Least Squares Approximation Least-squares Fitting Mean Absolute Error Numerical Analysis Road Safety Speed Alert Traffic Engineering Computing |
Content Type | Text |
Resource Type | Article |
Subject | Law Transportation Environmental Science Mechanical Engineering |
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