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

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.

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Summary URL:
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Authors:
- Robinson, Steve
- Polak, John W
Publication Date: 2005

Language

English

Media Info

Media Type: Print
Features: Figures; References; Tables;
Pagination: pp 47-56
Monograph Title: Information Systems and Technology
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 1935
- Publisher: Transportation Research Board
- ISSN: 0361-1981

Subject/Index Terms

TRT Terms: Loop detectors; Methodology; Traffic data
Uncontrolled Terms: Urban link travel time models
Geographic Terms: London (England)
Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

Accession Number: 01023226
Record Type: Publication
ISBN: 0309094097
Files: TRIS, TRB, ATRI
Created Date: Apr 24 2006 1:01PM