详情

原文传递 Improving Truck and Speed Data Using Paired Video and Single-Loop Sensors.

题名：	Improving Truck and Speed Data Using Paired Video and Single-Loop Sensors.
作者：	wang, y. nihan, n. avery, r. p. zhang, g.
关键词：	computer vision, vehicle classification, video image processing, speed
摘要：	Real-time speed and truck data are important inputs for modern freeway traffic control and management systems. However, these data are not directly measurable by single-loop detectors. Although dual-loop detectors provide speeds and classified vehicle volumes, there are too few of them on our current freeway systems to meet the practical needs of advanced traffic management systems. This makes it extremely desirable to develop appropriate algorithms to calculate speed and truck volume from single-loop outputs or from video data. To obtain quality estimates of traffic speed and truck volume data, several algorithms were developed and implemented in this study. These algorithms are (1) a speed estimation algorithm based one region growing mechanism and single-loop measurements; (2) a set of computer - vision-based algorithms for extracting background images from a video sequence, detecting the presence of vehicles, identifying and removing shadows, and calculating pixel-based vehicle lengths for classification; and (3) a speed estimation algorithm that uses paired video and single- loop sensor inputs. These algorithms were implemented in three distinct computer applications. Field-collected video and loop detector data were used to test the algorithms. Our test results indicated that quality speed and truck volume data can be estimated with the proposed algorithms by using single-loop data, video data, or both video and single-loop data. / NOTE: Final rept. / Supplementary Notes: Sponsored by Department of Transportation, Washington, DC. Office of the Secretary. / Availability Note: Product reproduced from digital image. 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：	u0715；128p
报告类型：	科技报告