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原文传递 Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections

题名：	Performance of Smart Sensor Detectors for Stop-Bar Detection at Signalized Intersections
其他题名：	Cameron,A.C.,and Trivedi,P.K.(1998).Regression analysis of count data,Cambridge University Press,Cambridge,U.K.
正文语种：	英文
作者：	Jidong J. Yang
关键词：	Accuracy;Performance evaluation;Radar detector;Sensitivity;Zero-inflated count models
摘要：	Recent years have seen increasing deployment of radar-based technologies for vehicle detection at signalized intersections in the United States, mainly because they are nonintrusive, accurate, and robust to varying lighting, weather, and environmental conditions. In this paper, a radar-based detection technology is evaluated in the context of various weather and environmental conditions. High-resolution (100-ms sampling interval) data were collected in the field from two representative test sites. The detection errors were correlated with varying weather and environmental conditions using data-mining techniques, such as conditional inference trees and regression models. It shown that false and stuck-on call errors tend to increase under more-adverse weather conditions (e.g., rain and thunderstorms). Visibility, glare, and uneven shadows appear to be irrelevant. The near-side mounting location is associated with reduced missed-call, false-call, and dropped-call errors.
出版年：	2017
论文唯一标识：	P-72Y2017V143N06010
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000045
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	143
期：	06
页码：	77-85