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Long-Term and Short-Term Measures of Roadway Snow and Ice Control Performance
| 题名： | Long-Term and Short-Term Measures of Roadway Snow and Ice Control Performance |
| 作者： | Sullivan, J.; Dowds, J.; Scott, D. M.; Novak, D. C. |
| 关键词： | Roadways##Snow removal##Public safety##Economic loss##Roadway conditions## |
| 摘要： | The overall goal of this project was to improve the performance of RSIC activities by the VTrans fleet by developing new performance measures and a plan for how they could be implemented full-scale. Two specific objectives were planned by the research team at the University of Vermont Transportation Research Center (UVM TRC) to achieve this goal: Develop a long-term, seasonal “time-to-normal” measure utilizing readily available speed data, and Pilot-test a short-term measure utilizing imagery data collected and processed in real-time to compare roadway conditions in front of, and behind, an active RSIC vehicle. In this study, a new long-term performance measure, the Average Distribution Deviation (ADD), was developed to objectively measure the time-to-normal after a winter weather event. The ADD assesses the full cumulative speed distribution of all traffic, rather than a simplified measure of traffic speed like the mean. It is calculated by taking the difference in the hourly cumulative speed distribution at the same location for the same hour of the day on two separate days. Calculating the ADD for snow-free days establishes a baseline for day-to-day variability in traffic speed distributions under normal operating conditions. This baseline ADD is then used as a threshold to compare the ADD values recorded during and after a winter storm event to determine precisely when the speed distribution has been returned to normal. We illustrate the ADD growth and recovery for winter storm events on Interstate 89 (I-89) and U.S. Route 4 (US-4) in Vermont. |
| 总页数： | 47 |
| 报告类型： | 科技报告 |
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