ESTIMATION OF ROADWAY TRAFFIC DENSITY ON FREEWAYS USING PRESENCE DETECTOR DATA

被引：19

作者：

KURKJIAN, A ^{[1
]}

GERSHWIN, SB ^{[1
]}

HOUPT, PK ^{[1
]}

WILLSKY, AS ^{[1
]}

CHOW, EY ^{[1
]}

机构：

[1] MIT,CAMBRIDGE,MA 02139

来源：

TRANSPORTATION SCIENCE | 1980年 / 14卷 / 03期

关键词：

HIGHWAY TRAFFIC CONTROL - MATHEMATICAL MODELS - TRAFFIC SURVEYS;

D O I：

10.1287/trsc.14.3.232

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

A new data processing approach is presented which estimates density well over a wide range of traffic conditions. It does this by detecting spatially inhomogeneous traffic conditions and compensating the density estimation algorithm appropriately. The algorithm uses both flow and occupancy data from adjacent detector stations to track the density on a link. A scalar Kalman filter formulation is used to provide the desired density estimate. Performance of the algorithm is demonstrated with a microscopic freeway simulation.

引用

页码：232 / 261

页数：30

共 21 条

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