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Estimating llie Temporal Distribution ctf TiafBc
Within the Peak Period
| 题名： | Estimating llie Temporal Distribution ctf TiafBc Within the Peak Period |
| 作者： | John N. Ivan and Scott A. Allaire |
| 关键词： | Peak-spreading, peak*hour, peak-period, congestion, fleeirays |
| 摘要： | Predicting accurate peak-hour traffic volumes has become increasingly important as they are being used more and more for quantitative analysis both for determining benefits of highway improvements and for estimating pollutant emission levels. A traditional and commonly used procedure predicts the daily traffic demand for all network links, converting these volumes to peak-^our quantities using “K” factors. The accuracy at the link level is highly questionable, as these factors do not capture the variability in the characteristics of the trip or trip-maker across links, which might influence the peak hour factors. The research presented in this report describes a study of peak spreading at ten freeway locations in Connecticut It considers both congestion and site-related variables for predicting the proportion of the peak-period volume on a highway link concentrated in the highest hour during the period. This effort is intended to enhance the existing traditional four-step transportation planning procedure. Log-linear regression is used to relate the congestion measure and site-related variables to the peak-hour proportion. Findings of the research are presented along with discussion of ongoing research activities in this area. |
| 报告类型： | 科技报告 |
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