详情

原文传递 Developing a GPS-Based Truck Freight Performance Measure Platform.

题名：	Developing a GPS-Based Truck Freight Performance Measure Platform.
作者：	E. McCormack; X. Ma; C. Klocow; A. Curreri; D. Wright;
关键词：	supply management,global positioning system,trucks;travel patterns, truck travel, commercial fleet data, data collection, performance statistics;
摘要：	Although trucks move the largest volume and value of goods in urban areas, relatively little is known about their travel patterns and how the roadway network performs for trucks. Global positioning systems (GPS) used by trucking companies to manage their equipment and staff and meet shippers' needs capture truck data that are now available to the public sector for analysis. The Washington State Department of Transportation (WSDOT), Transportation Northwest (TransNow) at the University of Washington (UW), and the Washington Trucking Associations (WTA) have partnered on a research effort to collect and analyze GPS truck data from commercial, in-vehicle, truck fleet management systems used in the central Puget Sound region. The research project is collecting commercially available GPS data and evaluating their feasibility to support a state truck freight network performance monitoring program. WSDOT is interested in using this program to monitor truck travel times and system reliability, and to guide freight investment decisions. The success of the truck freight performance measurement program will depend on developing the capability to: (1) efficiently collect and process GPS devices' output, (2) extract useful truck travel time and speed, roadway location, and stop location information. and (3) protect the identity of the truckers and their travel information so that business sensitive information is not released. While earlier studies have evaluated commercial vehicles' travel characteristics by using GPS devices, these researchers did not have access to commercial fleet data and had to estimate corridor travel speeds from a limited number of portable GPS units capable of making frequent (1-to-60-second) location reads (Quiroga and Bullock 1998, Greaves and Figliozzi 2008, Due and Aultman-Hall 2007). This read frequency permitted a fine-grained analysis of truck movements on specific segments of the road network but did not provide enough data points to reliably track regional or corridor network performance. This research project is taking a different approach. The data analyzed in this project are drawn from GPS devices installed to meet the trucking sector's fleet management needs. So the truck locations are collected less frequently (typically every 5 to 15 minutes) but are gathered from a much larger number of trucks over a long period of time. The researchers are collecting data from 2,000 to 3,000 trucks per day for one year in the central Puget Sound region. This report discusses the steps taken to build, clean, and test the data collection and analytic foundation from which the UW and WSDOT will extract network-based truck performance statistics. / Supplementary Notes: Prepared in cooperation with TransNow, Seattle, WA. Sponsored by Department of Transportation, Washington, DC. Office of the Secretary. and Washington State Dept. of Transportation, Olympia. / 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 5301 Shawnee Road, Alexandria, VA, 22312, USA. / NTIS Prices: PC A05 / NTIS In-house Control Codes: dotour/dotos;12091,1101
报告类型：	科技报告