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Title:

ON-LINE DIVERSION PREDICTION FOR DYNAMIC CONTROL AND VEHICLE GUIDANCE IN FREEWAY CORRIDORS

Accession Number:

00605636

Record Type:

Component

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Order URL: http://worldcat.org/isbn/0309050626

Abstract:

The effectiveness of route guidance and advanced control strategies in a corridor is a function of the time-dependent interaction between freeway and arterial flows in response to traffic conditions and information available to drivers. Although demand diversion is an essential element of optimal corridor management, no on-line demand predictor has considered explicitly the effect of control on the demand to be predicted. As a result, existing control strategies are mostly empirical and can address only known or anticipated peak-period loads. A new approach to modeling on-line demand diversion in freeway corridors is directly applicable to dynamic control and vehicle guidance. This new method treats freeway demand as a utility-maximizing, decision-making unit with ramp diversion behavior dependent primarily on the travel delay caused by congestion, as modified by on-line information and traffic control strategies. The method combines behavioral modeling with an extended Kalman filter to identify the diversion model parameters recursively using the most recent prediction error in real time. Because diversion prediction does not require upstream flow information, system instrumentation requirements are substantially avoided. The method was used for on-line prediction of demand and diversion at freeway entrance ramps of the I-35W corridor in the Minneapolis-St. Paul metropolitan area. Test results from 5-min prediction on several weekdays indicate the entrance ramp diversion proportion is predicted with 90 to 95% accuracy.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1287, Traffic Flow, Capacity, Roadway Lighting, and Urban Traffic Systems 1990. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

01411069

Authors:

Stephanedes, Yorgos J
Kwon, Eil
Michalopoulos, Panos

Pagination:

p. 11-19

Publication Date:

1990

Serial:

Transportation Research Record

Issue Number: 1287
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309050626

Features:

Figures (7) ; References (19)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Mar 31 1991 12:00AM

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