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Title:

Modeling Urban Link Travel Time with Inductive Loop Detector Data by Using the k-NN Method
Cover of Modeling Urban Link Travel Time with Inductive Loop Detector Data by Using the k-NN Method

Accession Number:

01023226

Record Type:

Component

Availability:

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Order URL: http://www.trb.org/Main/Public/Blurbs/155479.aspx

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Order URL: http://worldcat.org/isbn/0309094097

Abstract:

The need to measure urban link travel time (ULTT) is becoming increasingly important for network management and traveler information provision. This paper proposes the use of the k nearest neighbors (k-NN) technique to estimate ULTT with the use of single loop inductive loop detector (ILD) data. Real-world data from London is used. This paper explores the sensitivity of travel time estimates to various k-NN design parameters. It finds that the k-NN method is not particularly sensitive to the distance metric, although care must be taken in selecting the right combination of local estimation method (LEM) and value of k. A robust LEM should be used. The optimized k-NN model is found to provide more accurate estimates than other ULTT methods. To obtain a more accurate estimate of ULTT, a potential application of this approach could be to aggregate GPS probe vehicle ULTT records from different times but the same underlying travel time distribution.

Monograph Accession #:

01023220

Language:

English

Authors:

Robinson, Steve
Polak, John W

Pagination:

pp 47-56

Publication Date:

2005

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1935
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309094097

Media Type:

Print

Features:

Figures (4) ; References (51) ; Tables (3)

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Apr 24 2006 1:01PM

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