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| Content Provider | IET Digital Library |
|---|---|
| Author | Barreiro, José Balsa Mora, Pedro M. Valero Montoro, Ignacio Pareja García, Mar Sánchez |
| Abstract | The primary goal of naturalistic driving studies is to provide a comprehensive observation of the driver's behaviour under real-life conditions by measureing a great number of parameters at high temporal frequencies. Achieving this goal, however, is a complex endeavor that faces many challenges such as the complexity of the vehicle instrumentation during the phase of data collection, and the difficult handling of large data volumes during the phase of data analysis. These drawbacks often cause episodes of data losses. Improving the technical aspects of the collection of naturalistic data is of paramount importance to increase the return of the investment made in it. An aspect to consider is the control of the quality of data obtained. The procedures commonly applied often present a high workload and low levels of reliability in the results. For this reason, new and more efficient procedures should be implemented. This study proposes an innovative methodology for the quality control of these data through geographic information systems (GIS), which permit a fast, efficient and effective data evaluation. Relative and absolute errors can be located through cartographic representation obtained with GIS. Some graphical examples about the detection of the errors are shown. |
| Starting Page | 673 |
| Ending Page | 682 |
| Page Count | 10 |
| ISSN | 1751956X |
| Volume Number | 9 |
| e-ISSN | 17519578 |
| Issue Number | Issue 7, Sep (2015) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/9/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2014.0243 |
| Journal | IET Intelligent Transport Systems |
| Publisher Date | 2015-08-12 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Absolute Error Behavioural Sciences Computing Cartographic Representation Cartography Data Acquisition Data Analysis Data Evaluation Data Handling Data Handling Technique Data Loss Driver Behaviour Driver Information System Geographic Information System Geography And Cartography Computing GIS Naturalistic Data Collection Naturalistic Driving Studies Quality Control Quality Control Procedure Relative Error Traffic Engineering Computing Vehicle Instrumentation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Law Transportation Environmental Science Mechanical Engineering |
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