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Implementation of Traffic Data Quality Verification for WIM Sites.
| 题名： | Implementation of Traffic Data Quality Verification for WIM Sites. |
| 作者： | Liao, C. |
| 关键词： | Vehicle weight, Moving vehicle weight measurement, Quality control, Calibration, Sensor accuracy, Traffic data, Weigh-In-Motion (WIM), Cumulative Sum (CUSUM), Expectation Maximizatin (EM) algorithm, Gross Vehicle Weight (GVW) |
| 摘要： | Weigh-In-Motion (WIM) system tends to go out of calibration from time to time, as a result generate biased and inaccurate measurements. Several external factors such as vehicle speed, weather, pavement conditions, etc. can be attributed to such anomaly. To overcome this problem, a statistical quality control technique is warranted that would provide the WIM operator with some guidelines whenever the system tends to go out of calibration. A mixture modeling technique using Expectation Maximization (EM) algorithm was implemented to divide the Gross Vehicle Weight (GVW) measurements of vehicle class 9 into three components, (unloaded, partially loaded, and fully loaded). Cumulative Sum (CUSUM) statistical process technique was used to identify any abrupt change in mean level of GVW measurements. Special attention was given to the presence of auto-correlation in the data by fitting an auto-regressive time series model and then performing CUSUM analysis on the fitted residuals. A data analysis software tool was developed to perform EM Fitting and CUSUM analyses. The EM analysis takes monthly WIM raw data and estimates the mean and deviations of GVW of class 9 fully loaded trucks. Results of the EM analyses are stored in a file directory for CUSUM analysis. Output from the CUSUM analysis will indicate whether there is any sensor drift during the analysis period. |
| 总页数： | Liao, C. |
| 报告类型： | 科技报告 |
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