IMPROVED TECHNIQUES FOR FREEWAY SURVEILLANCE.

被引:0
|
作者
Payne, Harold J. [1 ]
Brown, David [1 ]
Cohen, Stephen L. [1 ]
机构
[1] VERAC Inc, San Diego, CA, USA, VERAC Inc, San Diego, CA, USA
关键词
SIGNAL FILTERING AND PREDICTION - Kalman Filtering - STREET TRAFFIC CONTROL - Mathematical Models;
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暂无
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学科分类号
摘要
Several new techniques for freeway surveillance using modern estimation theory are presented. The approach adopted here is suboptimal using steady-state Kalman filters. The outstanding features of these estimators are their simple structure, light computational burden, and adequate performance to support effective demand-responsive control. The microscopic simulation program INTRAS was used to generate detector data to test the estimators.
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页码:52 / 60
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