详情

原文传递 Incorporating Truck Flows Into the State-Wide Planning Traffic Model.

题名：	Incorporating Truck Flows Into the State-Wide Planning Traffic Model.
作者：	aultman-hall, l. guo, f. o'brien, c. padlo, p. hogge, b.
关键词：	transportation planning, data sources
摘要：	This report contains four categories of information: a summary of an evaluation of the potential for use of commodity flow data for the truck component of Connecticut's state wide traffic model; the development of new truck generation models using a town-based synthetic OD for the state; an evaluation of the use of satellite imaged data for traffic prediction; and recommendations for future freight transportation planning needs for Connecticut. Given the limited and non-comprehensive freight data sources available, most state level models that incorporate freight or truck traffic are usually not validated against real world observations. Moreover, a thorough comparison of freight and truck data sources has not been undertaken. In this report, five freight or truck data sources were compared and the methodologies needed for their use in the State of Connecticut's truck generation model were evaluated. The current Connecticut truck generation model, which is based on data originally collected in the early 1970s, was found inconsistent with observed truck counts and truck data estimated from other public and private freight data. The objective of this section of the project was to combine available information to develop a defensible updated truck generation model for the state. Ultimately, a town-based synthetic OD estimation was adopted. It was based on existing truck classification counts performed between the late 1980s and early 2000s. / NOTE: Final rept. / Supplementary Notes: Sponsored by Connecticut Dept. of Transportation, Rocky Hill. / 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：	u0723；73p
报告类型：	科技报告