摘要: |
The objectives of this research project were a) evaluation of the existing weaving analysis procedures to determine under which design and operating conditions the “best available” tools are most effective, and b) development of an improved procedure either by modification of existing approaches or a new method as appropriate. The Highway Capacity Manual 2000 (HCM2000), Leisch and Level D methods were selected for evaluation. A database from 36 real-world weaving sections (189 data points of traffic volumes and speeds) was compiled from previously collected data. The analysis of the results identified the strengths and limitations of each method in predicting the performance of a freeway weaving section for a range of operating conditions. Additional analyses were performed by applying the selected analysis methods to synthetic datasets for the design and operating conditions that field data were not available. A total of 339 datasets were created. The analysis of the results focused on the consistency of the predictions from each analysis method. Additional field data were collected at three California ramp weave sites. A performance matrix was developed for each weaving analysis method to serve as a guide for Caltrans staff when choosing the “best” analysis method for the weaving section under study. Each cell of the matrix represents a distinct design and operating condition. There are a total of 144 cells for typical weaving sections of two, three, four and five lanes wide. Based on the comparison of the model prediction with field and synthetic data, we show on each cell the performance of the particular method as good (or “green light”), or partially good or often inconsistent (or “yellow light”) or poor (or “red light”) for a particular design and operating condition. |