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原文传递 Urban Commodity Flow Data Collection and Analysis Using Global Positioning Systems.

题名：	Urban Commodity Flow Data Collection and Analysis Using Global Positioning Systems.
作者：	LONGENDRAN, R.; PETERSON, C.
关键词：	GLOBAL POSITIONING SYSTEMS; TRUCKING INDUSTRY
摘要：	The Urban Commodity Flow Data Collection and Analysis project is a joint effort between Oregon State University (OSU) and the City of Portland, Oregon Travel Forecasting Group (Port of Portland and Portland Metro). The broad objective of this project is to gain a better understanding of the role of the trucking industry and the requirements that it places on the highway managed by the Oregon Department of Transportation (ODOT). Specifically, the project focuses on leveraging technology to supplement data collection methods typically used to aid in the development of commodity flow models by the Travel Forecasting Group. The project is an extension of the efforts pursued in the previous year to attract additional carriers who would be willing to participate in this study by allowing the OSU project team to install GPS units on their trucks to collect data. The data is collected at a series of collection points at desired time intervals, each comprised of measurements of latitude, longitude, date, and time. In the previous year, the GPS units were left in the trucks for a period of four weeks for data collection, and the pattern of collected data on trucks was very repetitive any time after the second week. Thus, it has been decided to install the GPS units on trucks for a continual period of two weeks. Leveraging upon the information acquired from the two carriers that participated in the previous year, the OSU team spent time to use the information as well as the analysis performed to develop a website.
报告类型：	科技报告