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原文传递 Field Data Collection and Analysis for Freeway Work Zone Capacity Estimation.

题名：	Field Data Collection and Analysis for Freeway Work Zone Capacity Estimation.
作者：	elefteriadou, l. heaslip, k.
关键词：	freeways, highway construction, traffic management, traffic flow, traffic congestion, simulation, florida, state highway departments, data collection, estimates
摘要：	A previous FDOT project (FDOT BD 545-51) developed analytical models for estimating the capacity of freeway work zones based entirely on simulated data. Simulation was used because there were no freeway work zone field data available at the time. As that project was nearing completion, it was determined that field data could be obtained from a recently installed freeway work zone along I-95 in Jacksonville, Florida, using the Jacksonville Traffic Management Center (TMC) cameras. Therefore this project was initiated to collect field data and based on these re-calibrate the models previously developed. To achieve the objectives of the project, field data were collected at the freeway work zone identified, for a total of 15 days. Various capacity-related measures were obtained from the field data, including the maximum pre-breakdown flow, the breakdown flow, and the maximum and average discharge flow during congested conditions. The following were concluded from the research: The average discharge flow had the smallest standard deviation of all the capacity measures. The other three measures showed higher variability; The average per lane discharge flow (i.e., capacity during congested conditions) at the study site under good weather conditions was found to be 4,013 vehicles per hour (vph), or 2,007 vehicle per hour per lane (vphpl); Rainy conditions reduced the average discharge flow in the work zone by 10-29 percent; heavy rain had a much greater impact on capacity than moderate rain and; It was concluded that the operations model developed under FDOT BD 454-51 can reasonably predict the capacity of the work zone (difference less than 1 percent) while the planning model under-predicts it by 8.8 percent. The effect of rain is not captured well by either of these models. The existing FDOT lane analysis method underestimated the discharge flow for that site by approximately 10 percent. / NOTE: Final rept. / Supplementary Notes: Sponsored by Florida State Dept. of Transportation, Tallahassee. / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA.
总页数：	u0825；61p
报告类型：	科技报告