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Title:

NEW ESTIMATION TECHNIQUE FOR VEHICLE-TYPE-SPECIFIC HEADWAY DISTRIBUTIONS

Accession Number:

00756237

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309065186

Abstract:

Recently, a new statistical procedure was developed that enables fast, accurate, and robust estimation of composite headway distributions, such as Branston's generalized queueing model (GQM). Until now, the new procedure had only been applied to aggregate vehicular flow. In this paper, the estimation procedure is extended to headway observations segregated according to vehicle type and period of the day. Consequently, the parameters of a new mixed-vehicle-type headway distribution model based on Branston's headway model can be estimated. Distinction of vehicle type and sample periods provides additional insight into the plausibility of the headway distributions and parameter values, as well as into the car-following behavior of the distinct vehicle classes varying across the different periods. The estimation procedure was applied to traffic data collected on a two-lane rural road in the Netherlands. Comparison of the estimated headway distributions with real-life data shows that headway distributions can be realistically replicated with the Pearson-III-based mixed-vehicle-type GQM. Interpretable differences between the morning, noon, and evening sample periods and between passenger cars, unarticulated trucks, and articulated trucks are found. In addition, passenger-car equivalents for both articulated trucks and unarticulated trucks were determined from the parameter estimates.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1646, Highway Capacity Issues 1998.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Hoogendoorn, S P
Bovy, P H L

Pagination:

p. 18-28

Publication Date:

1998

Serial:

Transportation Research Record

Issue Number: 1646
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309065186

Features:

Figures (5) ; References (12)

Uncontrolled Terms:

Geographic Terms:

Old TRIS Terms:

Subject Areas:

Data and Information Technology; Freight Transportation; Highways; Operations and Traffic Management; I71: Traffic Theory

Files:

TRIS, TRB, ATRI

Created Date:

Nov 18 1998 12:00AM

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